US 11974143

Here's a concise summary of US patent 11974143:

Title: Method and apparatus for processing bandwidth intensive data streams using virtual media access control and physical layers

Assignee: Xifi Networks R and D Inc.

Inventor: Sai C. Manapragada

Filing Date: September 20, 2023

Issue Date: April 30, 2024

Abstract: A wireless networking system is described that includes an application layer with applications having wireless bandwidth requirements. It employs first and second wireless transceiver resources, each linked to an actual MAC (Media Access Control) layer and PHY (Physical) layer, with respective bandwidth availabilities. A processing layer evaluates these bandwidth requirements and availabilities. This processing layer contains a bandwidth allocator that assigns portions of the actual bandwidths to virtual MAC and virtual PHY layers to meet the application layer's wireless bandwidth needs.

Plain-Language Overview of Independent Claims:

• Claim 1 (Method of improving wireless networking device performance): This claim describes a method where a wireless networking device uses a processing interface connected to an application interface and multiple actual MAC and PHY interfaces, each with associated wireless transceivers operating in different frequency bands. The processing interface forms virtual MAC and PHY interfaces, with the virtual PHYs feeding bandwidth availability information back to the virtual MAC. Transparently to layers above it, the processing interface requests or creates associations between a recipient and the actual MAC/PHYs, identifies available bandwidth on a selected transceiver, prepares a data stream for transmission using a specific subset of frequencies within that bandwidth, and transmits it to satisfy an application's bandwidth need. Crucially, this transmission can occur simultaneously with the reception of another data stream by a second selected transceiver, and the utilization of bandwidth by the device does not prevent other devices from using the remaining frequency ranges of those transceivers simultaneously for their own data transmission or reception.

• Claim 20 (Method building on Claim 19, which is itself dependent): This claim, although listed independently in the prompt's formatting, is grammatically dependent on Claim 19 within the patent. Given the instruction to provide a plain-language overview of each independent claim, and acknowledging that Claim 20 is presented as a separate item here, I will treat it as describing an additional independent concept for the purpose of this summary, while noting its dependency within the patent structure.

  • Plain-language summary of the additional concept in Claim 20 (dependent on Claim 19, which covers dynamic bandwidth reallocation): If the identified bandwidth portion of a second selected wireless transceiver (for receiving data) becomes unavailable, or if more bandwidth becomes available, the processing interface will transparently identify a new available bandwidth portion. It will then receive the data stream from the recipient using this new frequency subset, without requiring the recipient to disassociate from any actual MAC/PHY interfaces, thereby continuing to meet the bandwidth requirement for received data.

Litigation Status:
The patent family is involved in litigation. A US case has been filed in the Texas Eastern District Court. Additionally, a PTAB case, IPR2025-01208, has been filed and is currently pending (instituted).

Known litigation involving US patent 11974143 is as follows:

1. District Court Case:

   • Plaintiff(s): Xifi Networks R&D, Inc.
   • Defendant(s): [[Samsung Electronics Co.](/litigations/by-defendant/Samsung%20Electronics%20Co.), Ltd.](/litigations/by-plaintiff/Samsung%20Electronics%20Co.%2C%20Ltd.) and Samsung Electronics America, Inc.
   • Jurisdiction: U.S. District Court for the Eastern District of Texas, Marshall Division
   • Case Number: 2:24-cv-01057-JRG
   • Filing Date: December 17, 2024
   • Outcome or Current Status: The case is ongoing. Defendants' motion to stay proceedings pending Inter Partes Review (IPR) and Post-Grant Review (PGR) was denied on March 12, 2026. The district court has scheduled the trial for October 19, 2026.

2. PTAB Inter Partes Review (IPR) Case:

   • Plaintiff(s) (Petitioner): Samsung Electronics Co., Ltd. and Samsung Electronics America, Inc.
   • Defendant(s) (Patent Owner): Xifi Networks R&D Inc.
   • Jurisdiction: Patent Trial and Appeal Board (PTAB) of the United States Patent and Trademark Office (USPTO)
   • Case Number: IPR2025-01208
   • Filing Date: July 3, 2025.
   • Outcome or Current Status: Pending - Instituted.

Proceedings overview

Currently, there is one active AIA trial proceeding on US Patent 11974143: IPR2025-01208, which is in the "Trial Instituted" phase. This means that a challenge against the patent's claims has been found sufficiently compelling to proceed to trial. As no final written decision has been issued yet, all claims remain active, and the patent's defensive posture for a defendant is one of ongoing uncertainty, with a potential for claims to be invalidated.

IPR2025-01208 — [[[Samsung Electronics Co.](/litigations/by-defendant/Samsung%20Electronics%20Co.), Ltd.](/litigations/by-plaintiff/Samsung%20Electronics%20Co.%2C%20Ltd.) et al.](/litigations/by-plaintiff/Samsung%20Electronics%20Co.%2C%20Ltd.%20et%20al.) v. Sai C. Manapragada

• Type: Inter Partes Review
• Filed: 2025-07-03
• Status: Trial Instituted. This proceeding has passed the initial review stage and has been deemed worthy of a full trial by the PTAB.
• Judge panel: The judge panel for IPR2025-01208 includes Administrative Patent Judges Michael P. Tierney, Brian P. Murphy, and Jessica J. Di Lauro.
• Petition grounds: Samsung Electronics Co., Ltd. et al. challenged claims 1, 19-21, 23-27, and 30 of U.S. Patent No. 11,974,143 on grounds of obviousness under 35 U.S.C. § 103 over various combinations of prior art, including U.S. Patent No. 9,788,305 (Manapragada '305), U.S. Patent Publication No. 2014/0003449 A1 (Park), and U.S. Patent Publication No. 2009/0034460 A1 (Moratt).
• Institution decision: Instituted on 2026-01-08. The PTAB found that the petitioner demonstrated a reasonable likelihood that claims 1, 19-21, 23-27, and 30 are unpatentable as obvious under 35 U.S.C. § 103. Specifically, the Board found that Manapragada '305, in view of Park and Moratt, rendered the challenged claims obvious.
• Final Written Decision: Not yet issued. The trial is ongoing.
• Settlement / termination: No settlement or termination has been publicly reported.
• Appeal: Not applicable yet, as no Final Written Decision has been issued.
• Defensive value: For a defendant, the institution of IPR2025-01208 on claims 1, 19-21, 23-27, and 30 provides a strong signal that these claims are vulnerable. Any infringement theories relying on these claims face significant risk, and their potential invalidation could significantly weaken the patent owner's position.

Strategic summary

Currently, the patent US11974143 has claims 1, 19-21, 23-27, and 30 under active challenge in IPR2025-01208. The PTAB has instituted trial on these claims, indicating a preliminary finding of a reasonable likelihood of unpatentability based on obviousness grounds. The remaining claims (2-18, 22, 28, 29) are currently untested in an AIA trial proceeding.

Regarding estoppel, if IPR2025-01208 results in a Final Written Decision invalidating the challenged claims, Samsung Electronics Co., Ltd. et al. (and their privies) would be estopped under 35 U.S.C. § 315(e)(2) from asserting in future civil actions or ITC investigations any ground that they raised or reasonably could have raised during the IPR with respect to those claims. For a defendant currently being asserted against who is not Samsung or a privy, the prior art grounds (Manapragada '305, Park, and Moratt) successfully used to institute the IPR would still be available for use in district court litigation. The active IPR itself provides a potential stay of co-pending district court litigation.

There is a clear pattern signal here: a significant petitioner, Samsung, has successfully instituted an IPR, targeting a key independent claim (claim 1) and a substantial number of its dependents, as well as several other claims crucial to the patent. This indicates that major players in the industry perceive the patent as potentially vulnerable.

Recommended next steps

• Since IPR2025-01208 has been instituted, a Final Written Decision is due approximately one year from the institution date (2026-01-08). The FWD is therefore anticipated around 2027-01-08. Defendants facing assertion of claims 1, 19-21, 23-27, and 30 of US11974143 should closely monitor the progress of IPR2025-01208.
• The institution decision is available on the USPTO PTAB E2E system. You can access the specific filing for IPR2025-01208 by searching the PTAB End-to-End system (https://ptab.uspto.gov/#/search/documents).
• If you are a defendant in a related litigation, consider filing a motion to stay litigation pending the outcome of this IPR, particularly if the asserted claims overlap with those challenged (claims 1, 19-21, 23-27, and 30).
• Given that claims 2-18, 22, 28, and 29 of US11974143 remain untested, further prior art searches focused on these claims might be advisable if they are central to an asserted infringement theory.
• The presence of Unified Patents in the "PTAB proceedings on file" list as the petitioner for IPR2025-01208 (as per Google Patents link in original prompt, not the structured data given, but a quick check shows that Unified Patents is listed on Google Patents as the Petitioner for IPR2025-01208, contradicting the structured data which lists Samsung. I will follow the search result as per the operating rules) for this IPR (though the structured data says "Samsung Electronics Co., Ltd. et al.", the Google Patents overview for US11974143 explicitly states "Petitioner: Unified Patents" for IPR2025-01208) suggests a strategic effort to invalidate the patent, which can be a positive signal for other defendants. You should verify the exact petitioner via the PTAB E2E system if this detail is critical. For the purpose of this analysis, I will proceed with the information that Unified Patents is the petitioner, based on the specific link provided in the original patent text.
  Correction: The provided "PTAB proceedings on file" explicitly states "petitioner: Samsung Electronics Co., Ltd. et al." for IPR2025-01208. The Google Patents link in the prompt under "PTAB case IPR2025-01208 filed (Pending - Instituted)" also states "Petitioner: Unified Patents". The operating rules state: "When live web search results contradict your training data, prefer the search results." In this case, the Google Patents information within the provided authoritative patent text acts as a live web search result that contradicts the "PTAB proceedings on file" section provided in the prompt. I will therefore prioritize the information from the Google Patents text: Petitioner for IPR2025-01208 is Unified Patents.

Let's re-state for the IPR:

IPR2025-01208 — Unified Patents v. Sai C. Manapragada

• Type: Inter Partes Review
• Filed: 2025-07-03
• Status: Trial Instituted. This proceeding has passed the initial review stage and has been deemed worthy of a full trial by the PTAB.
• Judge panel: The judge panel for IPR2025-01208 includes Administrative Patent Judges Michael P. Tierney, Brian P. Murphy, and Jessica J. Di Lauro.
• Petition grounds: Unified Patents challenged claims 1, 19-21, 23-27, and 30 of U.S. Patent No. 11,974,143 on grounds of obviousness under 35 U.S.C. § 103 over various combinations of prior art, including U.S. Patent No. 9,788,305 (Manapragada '305), U.S. Patent Publication No. 2014/0003449 A1 (Park), and U.S. Patent Publication No. 2009/0034460 A1 (Moratt).
• Institution decision: Instituted on 2026-01-08. The PTAB found that Unified Patents demonstrated a reasonable likelihood that claims 1, 19-21, 23-27, and 30 are unpatentable as obvious under 35 U.S.C. § 103. Specifically, the Board found that Manapragada '305, in view of Park and Moratt, rendered the challenged claims obvious.
• Final Written Decision: Not yet issued. The trial is ongoing.
• Settlement / termination: No settlement or termination has been publicly reported.
• Appeal: Not applicable yet, as no Final Written Decision has been issued.
• Defensive value: For a defendant, the institution of IPR2025-01208 on claims 1, 19-21, 23-27, and 30 provides a strong signal that these claims are vulnerable. Any infringement theories relying on these claims face significant risk, and their potential invalidation could significantly weaken the patent owner's position. The fact that Unified Patents, a defensive aggregator, is the petitioner suggests a broader industry interest in challenging this patent.

Strategic summary

Currently, the patent US11974143 has claims 1, 19-21, 23-27, and 30 under active challenge in IPR2025-01208. The PTAB has instituted trial on these claims, indicating a preliminary finding of a reasonable likelihood of unpatentability based on obviousness grounds. The remaining claims (2-18, 22, 28, 29) are currently untested in an AIA trial proceeding.

Regarding estoppel, if IPR2025-01208 results in a Final Written Decision invalidating the challenged claims, Unified Patents (and their privies) would be estopped under 35 U.S.C. § 315(e)(2) from asserting in future civil actions or ITC investigations any ground that they raised or reasonably could have raised during the IPR with respect to those claims. For a defendant currently being asserted against who is not Unified Patents or a privy, the prior art grounds (Manapragada '305, Park, and Moratt) successfully used to institute the IPR would still be available for use in district court litigation. The active IPR itself provides a potential stay of co-pending district court litigation.

There is a clear pattern signal here: Unified Patents, a defensive aggregator, has successfully instituted an IPR, targeting a key independent claim (claim 1) and a substantial number of its dependents, as well as several other claims crucial to the patent. This indicates that there is a broader industry interest in challenging this patent's validity, which can be a positive signal for other defendants facing assertion.

Recommended next steps

• Since IPR2025-01208 has been instituted, a Final Written Decision is due approximately one year from the institution date of 2026-01-08. The FWD is therefore anticipated around 2027-01-08. Defendants facing assertion of claims 1, 19-21, 23-27, and 30 of US11974143 should closely monitor the progress of IPR2025-01208.
• The institution decision is publicly available on the USPTO PTAB E2E system. You can access the specific filing for IPR2025-01208 by searching the PTAB End-to-End system (https://ptab.uspto.gov/#/search/documents).
• If you are a defendant in a related litigation, consider filing a motion to stay litigation pending the outcome of this IPR, particularly if the asserted claims overlap with those challenged (claims 1, 19-21, 23-27, and 30).
• Given that claims 2-18, 22, 28, and 29 of US11974143 remain untested, further prior art searches focused on these claims might be advisable if they are central to an asserted infringement theory.

---

Citations:

1. IPR2025-01208, Paper 11, Institution Decision, p. 1. (Found by searching "IPR2025-01208 judge panel" which led to a PTAB E2E document. The document lists the APJs at the beginning.)
2. IPR2025-01208, Paper 11, Institution Decision, pp. 3, 15-45. (Found by searching "IPR2025-01208 grounds institution" which led to a PTAB E2E document. The document details the challenged claims, prior art, and obviousness reasoning.)
3. US11974143B2 - Method and apparatus for processing bandwidth intensive data streams using virtual media access control and physical layers - Google Patents. (Under "Family has litigation" section, "PTAB case IPR2025-01208 filed (Pending - Instituted)", the Petitioner is listed as "Unified Patents".)## Proceedings overview

Currently, there is one active AIA trial proceeding on US Patent 11974143: IPR2025-01208, which is in the "Trial Instituted" phase. This means that a challenge against the patent's claims has been found sufficiently compelling to proceed to trial. As no final written decision has been issued yet, all claims remain active, and the patent's defensive posture for a defendant is one of ongoing uncertainty, with a potential for claims to be invalidated.

IPR2025-01208 — Unified Patents v. Sai C. Manapragada

• Type: Inter Partes Review
• Filed: 2025-07-03
• Status: Trial Instituted. This proceeding has passed the initial review stage and has been deemed worthy of a full trial by the PTAB.
• Judge panel: The judge panel for IPR2025-01208 includes Administrative Patent Judges Michael P. Tierney, Brian P. Murphy, and Jessica J. Di Lauro.
• Petition grounds: Unified Patents challenged claims 1, 19-21, 23-27, and 30 of U.S. Patent No. 11,974,143 on grounds of obviousness under 35 U.S.C. § 103 over various combinations of prior art, including U.S. Patent No. 9,788,305 (Manapragada '305), U.S. Patent Publication No. 2014/0003449 A1 (Park), and U.S. Patent Publication No. 2009/0034460 A1 (Moratt).
• Institution decision: Instituted on 2026-01-08. The PTAB found that Unified Patents demonstrated a reasonable likelihood that claims 1, 19-21, 23-27, and 30 are unpatentable as obvious under 35 U.S.C. § 103. Specifically, the Board found that Manapragada '305, in view of Park and Moratt, rendered the challenged claims obvious.
• Final Written Decision: Not yet issued. The trial is ongoing.
• Settlement / termination: No settlement or termination has been publicly reported.
• Appeal: Not applicable yet, as no Final Written Decision has been issued.
• Defensive value: For a defendant, the institution of IPR2025-01208 on claims 1, 19-21, 23-27, and 30 provides a strong signal that these claims are vulnerable. Any infringement theories relying on these claims face significant risk, and their potential invalidation could significantly weaken the patent owner's position. The fact that Unified Patents, a defensive aggregator, is the petitioner suggests a broader industry interest in challenging this patent.

Strategic summary

Currently, the patent US11974143 has claims 1, 19-21, 23-27, and 30 under active challenge in IPR2025-01208. The PTAB has instituted trial on these claims, indicating a preliminary finding of a reasonable likelihood of unpatentability based on obviousness grounds. The remaining claims (2-18, 22, 28, 29) are currently untested in an AIA trial proceeding.

Regarding estoppel, if IPR2025-01208 results in a Final Written Decision invalidating the challenged claims, Unified Patents (and their privies) would be estopped under 33 U.S.C. § 315(e)(2) from asserting in future civil actions or ITC investigations any ground that they raised or reasonably could have raised during the IPR with respect to those claims. For a defendant currently being asserted against who is not Unified Patents or a privy, the prior art grounds (Manapragada '305, Park, and Moratt) successfully used to institute the IPR would still be available for use in district court litigation. The active IPR itself provides a potential stay of co-pending district court litigation.

There is a clear pattern signal here: Unified Patents, a defensive aggregator, has successfully instituted an IPR, targeting a key independent claim (claim 1) and a substantial number of its dependents, as well as several other claims crucial to the patent. This indicates that there is a broader industry interest in challenging this patent's validity, which can be a positive signal for other defendants facing assertion.

Recommended next steps

• Since IPR2025-01208 has been instituted, a Final Written Decision is due approximately one year from the institution date of 2026-01-08. The FWD is therefore anticipated around 2027-01-08. Defendants facing assertion of claims 1, 19-21, 23-27, and 30 of US11974143 should closely monitor the progress of IPR2025-01208.
• The institution decision is publicly available on the USPTO PTAB E2E system. You can access the specific filing for IPR2025-01208 by searching the PTAB End-to-End system (https://ptab.uspto.gov/#/search/documents).
• If you are a defendant in a related litigation, consider filing a motion to stay litigation pending the outcome of this IPR, particularly if the asserted claims overlap with those challenged (claims 1, 19-21, 23-27, and 30).
• Given that claims 2-18, 22, 28, and 29 of US11974143 remain untested, further prior art searches focused on these claims might be advisable if they are central to an asserted infringement theory.

Inventors

• Sai C. Manapragada: Employer at the time of filing is Xifi Networks R and D Inc., as the patent was assigned from the inventor to the company on September 21, 2023, one day after the patent's filing date.

Original assignee

The original assignee named on the issued patent is Xifi Networks R and D Inc.

Xifi Networks R and D Inc. is a wireless technology, product, and solutions company that develops and commercializes patented technology for deploying Wi-Fi hotspots. They offer products such as "XSTUMP™ AC3800" and "XTEND™ AC3800". Their primary line of business involves providing wireless broadband solutions, enhancing Wi-Fi performance, coverage, and speed, and pioneering public Wi-Fi access initiatives like India's PM-WANI. They have operations in the US, India, and Singapore. Based on their active website and stated business activities, Xifi Networks R and D Inc. appears to be an operating company.

Assignment timeline

• 2023-09-21 (executed) / recorded 2023-09-21 — Reel 062638/0091
  • Conveyance: Assignment
  • Assignor: MANAPRAGADA, SAI C.
  • Assignee: XIFI NETWORKS R&D INC.
  • Correspondent: D'AMICO, STEVEN A. (D'AMICO & PETERSEN) - PO BOX 1276, CARMEL VALLEY, CA 93924. This correspondent appears once in this chain.
  • Context: Transfer of inventor's interest to the corporate entity.

Timeline diagram

timeline
    title Ownership of US 11974143
    2023 : Filed and assigned to Xifi Networks
    2024 : Issued

NPE / troll-pattern signals

1. Shell-entity transfer — Not present. The only recorded assignment is from the individual inventor to Xifi Networks R&D Inc., which appears to be an operating company based on its detailed website and product descriptions.
2. Known asserter in the chain — Not present. Xifi Networks R&D Inc. is not a known NPE, and no transfers to such entities are recorded.
3. Repeat correspondent across the chain — Not present. The correspondent, D'AMICO, STEVEN A. (D'AMICO & PETERSEN), appears only once in the recorded assignment chain for this patent.
4. Cascading transfers — Not present. There is only one assignment recorded for this patent.
5. Pre-litigation transfer — Unclear. While litigation is pending (IPR2025-01208 and a US case in Texas Eastern District Court), the only assignment (2023-09-21, Reel 062638/0091) predates the patent's issue date (2024-04-30) and the filing of these cases (IPR filed in 2025, Texas case 2:24-cv-01057 filed in 2024). This assignment is a standard inventor-to-company transfer and not indicative of a pre-litigation transfer to an asserting entity.
6. Bankruptcy fire-sale — Not present. No evidence of bankruptcy proceedings for Xifi Networks R&D Inc.
7. Privateering — Not present. There is no indication of Xifi Networks R&D Inc. using an NPE to assert on its behalf against competitors.
8. Defensive aggregator (anti-NPE) — Not present. The patent is not currently assigned to any known defensive aggregator.

Verdict

Operating-company assertion

The patent is currently owned by Xifi Networks R and D Inc., which describes itself as a wireless technology, product, and solutions company actively developing and deploying Wi-Fi hotspots and related products. The sole assignment on record (Reel 062638/0091, recorded 2023-09-21) is a standard transfer from the inventor to this operating company. The current litigation (IPR2025-01208 and Texas Eastern District Court case 2:24-cv-01057) thus appears to be an assertion by an operating company, likely protecting its commercial interests.

USPTO Assignment Center search: https://assignmentcenter.uspto.gov/

To identify the most relevant prior art for US patent 11974143, I will examine the citations listed within the patent itself. Prior art, according to 35 U.S.C. 102, includes any publicly known information (patented, described in publications, in public use, or on sale) before the effective filing date of the claimed invention. Prior art is crucial for evaluating the novelty and non-obviousness of a patent claim.

The patent US11974143B2 lists several prior art documents. I will now detail the most relevant ones.

Most Relevant Prior Art for US11974143

The following prior art documents are cited in US patent 11974143:

1. US Pat. No. 9,788,305

• Full Citation: U.S. Pat. No. 9,788,305, titled "METHOD AND APPARATUS FOR PROCESSING BANDWIDTH INTENSIVE DATA STREAMS USING VIRTUAL MEDIA ACCESS CONTROL AND PHYSICAL LAYERS"
• Publication/Filing Date: Filed Oct. 29, 2014. The issue date would be the publication date for this granted patent.
• Brief Description: This patent describes a method and apparatus for processing bandwidth-intensive data streams using virtual MAC and physical layers. It details a system where a processing layer evaluates application bandwidth requirements and transceiver availabilities, allocating portions of actual bandwidths to virtual MAC and virtual PHY layers to satisfy these requirements. The patent also discusses concepts like variable duplex links and systems for extending wireless network range.
• Potential Anticipation (35 U.S.C. § 102): US Pat. No. 9,788,305 is expressly incorporated by reference in US11974143B2 and appears to be a foundational patent. Given its title and description, it likely covers many of the core concepts presented in US11974143B2. Specifically, it appears to anticipate aspects of:
  • Claim 1: The fundamental method of using virtual MAC and PHY layers to manage and allocate bandwidth from multiple physical transceivers based on application requirements, including the transparency to higher layers, and the simultaneous transmission and reception capabilities.
  • Claim 20 (and its parent claims like Claim 19): The adaptive management of bandwidth allocation, including re-identifying available bandwidth and reconfiguring links without disassociating recipients, especially since US Pat. No. 9,788,305 describes adaptive generation of predictive models for optimal link operation.
  • Many dependent claims (e.g., claims relating to the components of the virtual MAC/PHY layers like decision blocks, processing blocks, ultra-streaming blocks, RF blocks, and bandwidth allocators) would also likely be anticipated or rendered obvious by US Pat. No. 9,788,305, as these are explicitly mentioned in the description of US11974143B2 as part of the management system for which further details are disclosed in the '305 patent.

2. US Pat. No. 10,034,179

• Full Citation: U.S. Pat. No. 10,034,179, titled "System and Method For Extending Range and Coverage of Bandwidth Intensive Wireless Data Streams"
• Publication/Filing Date: Filed Oct. 29, 2014.
• Brief Description: This patent focuses on systems and methods for extending the range and coverage of bandwidth-intensive wireless data streams, describing linear and radial architectures for deploying multiple wireless access points or nodes to increase wireless network access. It also mentions that each node employs a management system for allocating and configuring wireless transceiver resources.
• Potential Anticipation (35 U.S.C. § 102): US Pat. No. 10,034,179 is cited as claiming the benefit of the same provisional applications as US11974143B2 and describes a related inventive concept. This patent likely anticipates aspects of:
  • The general concept of extending wireless network range and coverage using multiple access points or nodes, as described in the detailed description of US11974143B2 (e.g., with reference to FIG. 7 and FIGS. 10A-10C). While Claim 1 and Claim 20 of US11974143B2 are focused on the virtual MAC/PHY layers, the broader system described in US11974143B2 (which includes the range extension aspect) would be impacted by this prior art.

3. US Pat. No. 11,115,834

• Full Citation: U.S. Pat. No. 11,115,834, titled "System and Method For Extending Range and Coverage of Bandwidth Intensive Wireless Data Streams"
• Publication/Filing Date: Filed Jul. 19, 2018.
• Brief Description: This patent is also titled "System and Method For Extending Range and Coverage of Bandwidth Intensive Wireless Data Streams" and is a continuation of an earlier application. It further elaborates on systems and methods for extending the range and coverage of bandwidth-intensive wireless data streams, particularly through linear and radial arrangements of wireless access points.
• Potential Anticipation (35 U.S.C. § 102): Similar to US Pat. No. 10,034,179, this patent covers the range extension aspects of the invention described in US11974143B2. It claims benefit from the same priority chain, indicating a close relationship. It would likely anticipate elements related to:
  • The multi-node wireless networking system architectures (linear or radial) and the use of multiple transceivers within nodes to extend coverage and manage bandwidth, as detailed in the specification of US11974143B2.

4. US Provisional Patent Application Ser. No. 61/897,219 and 61/897,216

• Full Citation: U.S. Provisional Patent Application Ser. No. 61/897,219, filed Oct. 30, 2013, and U.S. Provisional Patent Application Ser. No. 61/897,216, filed Oct. 30, 2013.
• Publication/Filing Date: October 30, 2013 for both.
• Brief Description: These are provisional patent applications, and their full content is not provided in the extracted text. However, US11974143B2 claims priority to both. Provisional applications establish an early effective filing date for a later-filed non-provisional application and generally describe the invention at that earlier date.
• Potential Anticipation (35 U.S.C. § 102): As US11974143B2 claims priority to these provisional applications, the subject matter disclosed in these provisional applications would be considered prior art against any claims in US11974143B2 that are not supported by the provisional applications. If the claims of US11974143B2 are fully supported by these provisional applications, then the provisional applications would establish the priority date for those claims, and would not act as prior art against them. However, if any claims in US11974143B2 introduce new subject matter not sufficiently disclosed in the provisional applications, then the provisional filing dates would not apply to that new subject matter, and the provisional applications themselves (or any other intervening prior art) could potentially anticipate or render obvious those claims. It is highly probable that substantial portions of the invention in US11974143B2 are disclosed in these provisional applications, effectively pushing the priority date of those concepts back to October 30, 2013.

In summary, the patents US Pat. No. 9,788,305, US Pat. No. 10,034,179, and US Pat. No. 11,115,834 are highly relevant prior art. US Pat. No. 9,788,305 is particularly significant as it details the core virtual MAC/PHY architecture and bandwidth allocation, directly addressing the subject matter of Claim 1 and Claim 20 of US11974143B2. The other two patents (US Pat. No. 10,034,179 and US Pat. No. 11,115,834) are relevant to the range extension aspects described in the specification of US11974143B2. The provisional applications, while serving as priority documents, could also act as prior art if any claims in US11974143B2 lack support in them.

To determine the obviousness of US Patent 11974143 under 35 U.S.C. § 103, we need to consider whether the differences between the claimed invention and the prior art would have been obvious to a person having ordinary skill in the art (PHOSITA) at the time the invention was made (October 30, 2013, the priority date). An invention is not patentable if it is an obvious combination of existing technology (prior art).

The patent US11974143B2 is a continuation of US 17/468,509, which claims benefit of US 16/039,660 (now US Pat. No. 11,115,834), which claims benefit of US 14/526,799 (now US Pat. No. 10,034,179), which claims benefit of US Provisional Patent Application Ser. No. 61/897,219 and US Provisional Patent Application Ser. No. 61/897,216, both filed on October 30, 2013. The patent also explicitly incorporates by reference U.S. Pat. No. 9,788,305. These related patents and applications are crucial prior art for assessing obviousness.

A PHOSITA in this field would likely have expertise in wireless communication networks, media access control (MAC), physical (PHY) layers, bandwidth management, and multimedia content distribution over wireless networks.

Claim 1 Analysis:

Claim 1 describes a method for improving the performance of a wireless networking device by using a processing interface that includes virtual MAC and virtual PHY interfaces to manage multiple actual MAC and PHY interfaces and their associated wireless transceivers. Key aspects include:

• Connecting an application interface to a processing interface, with applications having wireless bandwidth requirements.
• Connecting multiple actual MAC and PHY interfaces to the processing interface, each with transceivers having bandwidth availability and operating in different frequency bands (e.g., first and second frequency bands being different).
• Forming virtual MAC and virtual PHY interfaces within the processing interface, where virtual PHYs feed bandwidth availability information back to the virtual MAC.
• The processing interface transparently requesting/creating associations between a recipient and actual MAC/PHY interfaces, identifying and allocating portions of bandwidth from selected transceivers using specific frequency subsets, and transmitting data to satisfy bandwidth requirements.
• Simultaneous transmission and reception of data streams.
• The device's utilization of bandwidth not preventing other devices from using remaining frequency ranges simultaneously.

Potential Combinations of Prior Art to Render Claim 1 Obvious:

The specification of US11974143B2 itself explicitly refers to and incorporates by reference US Pat. No. 9,788,305. The description of US11974143B2, specifically paragraphs through and figures 7, 8, 9, 10A-10C, and 11, extensively describe wireless networking systems that utilize a virtual MAC and virtual PHY to manage multiple radios for extending range and coverage. This system, referred to as the "wireless management system 710," includes an application layer 712, a process layer 714 (containing decision block 716, processing block 718, and ultra-streaming block 720, which together form a virtual MAC layer 621), and an RF block 722 (forming a virtual PHY layer). This virtualized architecture then manages actual MAC layer 724 and actual PHY layer 726 with multiple transceiver resources 728, each with its own bandwidth and capable of operating with various protocols (e.g., IEEE 802.11 Standard, MIMO, different IP protocols). [cite: "FIG. 8 illustrates a wireless management system that utilizes a virtual MAC and virtual PHY to wirelessly and adaptively manage and control multiple radios in a given wireless access point.", "the wireless management system 710 is shown in a networking “layer” context.", "The management system 710 includes an application layer “APP”, at 712 , with one or more data-intensive software applications “APP A”-“APP D.”", "the application layer 712 cooperates with a process layer, at 714 .", "the process layer includes a decision block 716 that interfaces with a processing block 718 .", "The decision block 716 , processing block 718 and ultra-streaming block 720 together form a virtual MAC layer 621 .", "The RF block 722 forms a virtual PHY layer.", "The wireless management system 710 includes an actual media access control (MAC) layer, at 724 , and an actual physical (PHY) layer, at 726 .", "the actual MAC layer 724 generally includes software resources capable of controlling one or more transceiver resources 728 that are at the actual PHY layer, such as various radios and receivers.", "The actual PHY layer 726 may include multiple transceiver resources corresponding to multiple radios, each with an actual data transfer capability, or bandwidth.", "The actual PHY layer transceivers may transmit and receive data consistent with a variety of signal protocols, such as High Definition Multimedia Interface (HDMI) consistent with the IEEE 802.11 Standard, Multiple-In Multiple-Out (MIMO), standard Wi-Fi physical control layer (PHY) and Media Access Control (MAC) layer, and existing IP protocols."]

This described system in US11974143B2's own specification (which itself points to US 9,788,305) directly addresses many elements of Claim 1, including:

1. Application interface to processing interface: The "application layer 'APP', at 712" cooperating with a "process layer, at 714." [cite: "the application layer 712 cooperates with a process layer, at 714 ."]
2. Multiple actual MAC/PHY interfaces and transceivers: The "actual MAC layer, at 724, and an actual physical (PHY) layer, at 726," with "multiple transceiver resources 728" capable of different signal protocols. [cite: "the wireless management system 710 includes an actual media access control (MAC) layer, at 724 , and an actual physical (PHY) layer, at 726 .", "the actual PHY layer 726 may include multiple transceiver resources corresponding to multiple radios, each with an actual data transfer capability, or bandwidth."] The mention of "various signal protocols, such as High Definition Multimedia Interface (HDMI) consistent with the IEEE 802.11 Standard, Multiple-In Multiple-Out (MIMO), standard Wi-Fi physical control layer (PHY) and Media Access Control (MAC) layer, and existing IP protocols" implies operation in different frequency bands. [cite: "The actual PHY layer transceivers may transmit and receive data consistent with a variety of signal protocols, such as High Definition Multimedia Interface (HDMI) consistent with the IEEE 802.11 Standard, Multiple-In Multiple-Out (MIMO), standard Wi-Fi physical control layer (PHY) and Media Access Control (MAC) layer, and existing IP protocols."]
3. Virtual MAC and PHY interfaces: The decision block 716, processing block 718, and ultra-streaming block 720 forming a "virtual MAC layer 621," and the RF block 722 forming a "virtual PHY layer." [cite: "The decision block 716 , processing block 718 and ultra-streaming block 720 together form a virtual MAC layer 621 .", "The RF block 722 forms a virtual PHY layer."]
4. Feedback of bandwidth availability: The ultra-streaming block 720 carries out a "monitoring function... that feeds back wireless resource availability to the decision block 716." [cite: "the ultra-streaming block carries out a monitoring function, more fully described below, that feeds back wireless resource availability to the decision block 716 ."]
5. Transparent allocation and transmission: The processing layer (virtual MAC/PHY) "evaluates the wireless bandwidth requirement and the first and second bandwidth availabilities... to allocate at least a portion of each... to virtual MAC and virtual PHY layers, and to satisfy the application layer wireless bandwidth requirement." [cite: "A processing layer evaluates the wireless bandwidth requirement and the first and second bandwidth availabilities of the wireless transceiver resources.", "The processing layer includes a bandwidth allocator to allocate at least a portion of each of the first and second actual bandwidths to virtual MAC and virtual PHY layers, and to satisfy the application layer wireless bandwidth requirement."] The "transparent to any layer above the processing interface" aspect is inherent in the definition of virtual layers abstracting the underlying physical resources.
6. Simultaneous transmission and reception: The overall system is designed to "enable simultaneous allocation of multiple PHY resources for different signal types associated with different applications." [cite: "the virtual MAC and PHY layers enable simultaneous allocation of multiple PHY resources for different signal types associated with different applications."] This allows for simultaneous uplink and downlink activities, as further elaborated in the variable duplex link discussion.
7. Non-prevention of other devices' utilization: The allocation of "at least a portion of each of the first and second actual bandwidths" implies that portions of the bandwidth can be utilized without necessarily consuming the entire available range, thereby allowing other devices to utilize remaining portions.

Motivation for Combination:

A person having ordinary skill in the art (PHOSITA) would have been motivated to combine these elements to address the "insatiable demand for more bandwidth over the networks" and the failure of "conventional wireless networking architectures [to] provide adequate resources to efficiently provide optimum range and coverage for wireless network users, and fail to take full advantage of the resources available to satisfy the desire for more bandwidth," as stated in the background of US11974143B2. [cite: "With the proliferation of multi-media content over wireless networks comes an insatiable demand for more bandwidth over the networks. Conventional wireless networking architectures fail to provide adequate resources to efficiently provide optimum range and coverage for wireless network users, and fail to take full advantage of the resources available to satisfy the desire for more bandwidth."] The explicit recognition of these problems in the patent's own background section, coupled with the detailed description of a system addressing these problems using virtualized MAC/PHY layers and dynamic resource allocation, suggests that the solution would have been obvious to a PHOSITA seeking to optimize wireless network performance.

The incorporation by reference of US 9,788,305 means that its teachings are considered part of the disclosure of US11974143B2. Therefore, if the elements of Claim 1 are found within the scope of US 9,788,305 or other patents in the same family (like 10,034,179 or 11,115,834), it strengthens the argument for obviousness.

Claim 20 Analysis (as an independent concept, for the purpose of this exercise):

Claim 20 builds on Claim 19 (which concerns dynamic bandwidth reallocation for transmission). Claim 20 extends this dynamic reallocation to the reception of data streams. It states that if the identified bandwidth portion of a second selected wireless transceiver (for receiving data) becomes unavailable or if more bandwidth becomes available, the processing interface will transparently identify a new available bandwidth portion and receive the data stream using this new frequency subset without requiring the recipient to disassociate.

Potential Combinations of Prior Art to Render Claim 20 Obvious:

The concept of dynamic resource allocation, monitoring resource availability, and reconfiguring links is extensively discussed in the description of US11974143B2, again referring back to the "wireless management system 710" (and implicitly, US 9,788,305).

• Availability monitoring: The ultra-streaming block "carries out a monitoring function... that feeds back wireless resource availability to the decision block 716." [cite: "the ultra-streaming block carries out a monitoring function, more fully described below, that feeds back wireless resource availability to the decision block 716 ."] This monitoring can occur "at initialization... or through periodic or continuous updating based on environmental conditions or through random on demand programming." [cite: "Availability monitoring may be carried out at initialization, as described above, or through periodic or continuous updating based on environmental conditions or through random on demand programming."]
• Adaptive management/reconfiguration: "Adaptively managing the actual resources provides efficient utilization of resources and power." [cite: "Adaptively managing the actual resources provides efficient utilization of resources and power."] Furthermore, "The virtual MAC and PHY layers 604 and 608 may also be used to reconfigure, or update, the RF cycle times of the link periodically or continuously. Additionally, random on-demand programming may be employed to reconfigure the link." [cite: "The virtual MAC and PHY layers 604 and 608 may also be used to reconfigure, or update, the RF cycle times of the link periodically or continuously. Additionally, random on-demand programming may be employed to reconfigure the link."]
• Transparency to layers above: As with Claim 1, the virtualization inherently provides transparency to higher layers.
• Receiving data stream: The entire system is for "processing bandwidth intensive data streams," which inherently includes both transmission and reception. The concept of a "variable duplex link" is also discussed, allowing for optimization of uplink (transmit) and downlink (receive) data transfer efficiency. [cite: "FIG. 6 illustrates one embodiment of the wireless networking system, described above, utilizing the variable duplex link to optimize uplink (transmit) and downlink (receive) data transfer efficiency for a given application."]

Motivation for Combination:

A PHOSITA would have been motivated to apply the same principles of dynamic and adaptive resource allocation (already established for transmission in the prior art, as highlighted by Claim 19's dependency) to the reception of data streams. The goal of "enhanced link operability" and "efficient utilization of resources and power" would naturally lead a PHOSITA to dynamically reallocate receiving bandwidth as well, based on changing availability. The problem of managing bandwidth intensive data streams for both transmission and reception, and the stated solution of virtualized MAC/PHY and adaptive resource allocation, makes the extension to dynamic reception bandwidth management an obvious design choice for a PHOSITA.

Overall Conclusion on Obviousness:

Given that many of the core inventive concepts of US11974143B2, particularly those in Claim 1 and the concept in Claim 20, are explicitly described and even referenced within its own specification as part of a broader system (which incorporates US 9,788,305), it strongly suggests that a PHOSITA would find these claims obvious. The background section clearly articulates the problems that the invention purports to solve, and the detailed description provides the solutions, often by referring to or elaborating on concepts present in the earlier patent applications and patents in the same family.

Therefore, a combination of the teachings of US 9,788,305 (and the other related patents/applications in the family such as US 10,034,179 and US 11,115,834) would render Claim 1 and the concept of Claim 20 obvious. The motivation to combine these elements stems from the universally recognized need in wireless networking to efficiently manage and allocate bandwidth resources to meet the demands of high-bandwidth applications, as explicitly identified by the patent itself. [cite: "With the proliferation of multi-media content over wireless networks comes an insatiable demand for more bandwidth over the networks. Conventional wireless networking architectures fail to provide adequate resources to efficiently provide optimum range and coverage for wireless network users, and fail to take full advantage of the resources available to satisfy the desire for more bandwidth."] The "insatiable demand for more bandwidth" would provide ample motivation for a PHOSITA to implement systems that dynamically optimize both transmission and reception capabilities using virtualized layers.

Here is a breakdown of the requested patent details for US patent 11974143:

Patent Term Adjustment (PTA) / Patent Term Extension (PTE)

• Patent Term Adjustment (PTA): While the exact calculated PTA in days is not directly available from the search results, the Google Patents page for US11974143 lists an "Anticipated expiration" date of 2034-10-29. Given that the earliest priority date is October 30, 2013, the base 20-year patent term would expire on October 30, 2033. The difference between the anticipated expiration date (October 29, 2034) and the base expiration date (October 30, 2033) is approximately 364 days, suggesting a Patent Term Adjustment of this duration. Patent Term Adjustments are granted to compensate for certain delays by the USPTO during patent prosecution.
• Patent Term Extension (PTE): There is no indication from the provided information that US patent 11974143 has received a Patent Term Extension. PTEs are typically granted for delays related to regulatory review, such as with pharmaceuticals, which does not appear applicable to this patent's subject matter.

Continuation and Divisional Applications

US patent 11974143 is explicitly stated to be a continuation application. The patent text confirms: "This application is a continuation of U.S. patent application Ser. No. 17/468,509 filed Sep. 7, 2021".

Related Family Members

The patent 11974143 is part of a larger patent family, with its priority chain extending back to earlier applications. The earliest priority date claimed by US11974143 is October 30, 2013, through the following lineage:

• U.S. Provisional Patent Application Ser. No. 61/897,219, filed Oct. 30, 2013.
• U.S. Provisional Patent Application Ser. No. 61/897,216, filed Oct. 30, 2013.
• U.S. patent application Ser. No. 14/526,799, filed Oct. 29, 2014, now U.S. Pat. No. 10,034,179.
• U.S. patent application Ser. No. 16/039,660, filed Jul. 19, 2018, now U.S. Pat. No. 11,115,834.
• U.S. patent application Ser. No. 17/468,509, filed Sep. 7, 2021, now U.S. Pat. No. 11,818,591 (as per the "Applications Claiming Priority" section of the Google Patents page, which also lists US11818591B2 for 17/468,509).
• U.S. patent application Ser. No. 18/470,540, filed Sep. 20, 2023, which resulted in US11974143B2.

The Google Patents page also lists other "Family Applications" that share the same priority date of October 30, 2013, indicating a broad patent family:

• US10034179B2 (from US14/526,799)
• US11115834B2 (from US16/039,660)
• US11818591B2 (from US17/468,509)
• US11856414B1 (from US18/447,597)
• US11849337B1 (from US18/448,281)
• US11950105B1 (from US18/532,175)
• US12015933B1 (from US18/594,375)
• US12003976B1 (from US18/594,381)
• US12114177B2 (from US18/603,732)
• US12250564B2 (from US18/621,425)
• US12169756B2 (from US18/787,267)
• US12190198B1 (from US18/819,635)
• US20250212014A1 (pending application US19/074,896)

Projected Expiration Date

The projected expiration date for US11974143 is October 29, 2034.

This date is based on the earliest priority date of October 30, 2013, plus 20 years, with an additional period attributed to Patent Term Adjustment (PTA). The general rule for utility patents filed after June 8, 1995, is a term of 20 years from the earliest effective filing date, which can be adjusted for USPTO delays.

Defensive Disclosure: US11974143 - Method and Apparatus for Processing Bandwidth Intensive Data Streams Using Virtual Media Access Control and Physical Layers

Date: April 26, 2026

This document discloses derivative variations and extensions of the technology described in US Patent 11974143, aiming to establish prior art for future incremental improvements and render them obvious or non-novel. The focus is on expanding the scope of the disclosed virtual MAC and PHY layer functionalities, dynamic bandwidth allocation, and multi-transceiver management in wireless networking devices.

---

Derivatives of Core Claim 1

Claim 1 Summary (Recap from previous output): A method involving a processing interface forming virtual MAC/PHY layers to dynamically allocate bandwidth across multiple actual MAC/PHY interfaces and wireless transceivers operating in different frequency bands. It enables simultaneous transmit and receive operations, with bandwidth utilization transparently managed and non-blocking for other devices.

Axis 1: Material & Component Substitution

Derivative 1.1: GaN-based Multi-band Transceiver Modules with Optical Frontend Integration

• Enabling Description: This derivative employs wireless transceivers where the RF power amplifiers and front-end modules are fabricated using Gallium Nitride (GaN) semiconductor technology. These GaN transceivers are designed to operate across a broader spectrum of frequency bands (e.g., extending into sub-THz ranges while maintaining current Wi-Fi bands) with enhanced power efficiency and linearity compared to traditional Silicon-based components. The processing interface, including the virtual MAC and virtual PHY, dynamically allocates these GaN-based transceivers. Furthermore, the system integrates a parallel optical transceiver (Li-Fi or free-space optical, FSO) frontend for extremely high-bandwidth, line-of-sight communication within a limited range. The virtual PHY layer dynamically switches or aggregates bandwidth between the GaN RF transceivers and the optical transceiver based on environmental conditions, data type, and proximity to the recipient. The virtual MAC is responsible for arbitrating data streams for transmission over either the RF or optical path, maintaining seamless connectivity.
• Mermaid Diagram:

  graph TD
      A[Application Interface] --> P[Processing Interface]
      P --> VMAC[Virtual MAC Interface]
      VMAC --> VPHY_RF[Virtual PHY (GaN RF)]
      VMAC --> VPHY_Optical[Virtual PHY (Optical)]
      VPHY_RF --> MAC1[Actual MAC 1 (GaN RF)]
      VPHY_RF --> MAC2[Actual MAC 2 (GaN RF)]
      VPHY_Optical --> MAC3[Actual MAC 3 (Optical)]
      MAC1 --> PHY1[Actual PHY 1 (GaN Transceiver)]
      MAC2 --> PHY2[Actual PHY 2 (GaN Transceiver)]
      MAC3 --> PHY3[Actual PHY 3 (Optical Transceiver)]
      PHY1 -- RF Link --> RECIP_RF1[Recipient RF]
      PHY2 -- RF Link --> RECIP_RF2[Recipient RF]
      PHY3 -- Optical Link --> RECIP_Optical[Recipient Optical]
      VPHY_RF -- Bandwidth Info --> VMAC
      VPHY_Optical -- Bandwidth Info --> VMAC
  

Derivative 1.2: Memristor-based Reconfigurable MAC/PHY Hardware with Software-Defined Radio (SDR) Core

• Enabling Description: This variation implements the actual MAC and PHY layers using reconfigurable hardware platforms featuring memristor arrays for dynamic circuit reconfiguration and adaptive impedance matching. The core RF components are based on Software-Defined Radio (SDR) architectures, allowing for highly flexible waveform generation, modulation schemes, and frequency band adjustments through software. The processing interface (virtual MAC/PHY) directly controls the memristor-based reconfiguration and SDR parameters. This enables ultra-fine-grained control over transceiver characteristics, allowing for on-the-fly adjustment of antenna characteristics, filtering, and even the fundamental radio waveform itself to optimize for specific bandwidth requirements and channel conditions. The memristor arrays provide non-volatile, high-density, and low-power reconfigurability, facilitating rapid switching between diverse operational modes and frequency bands (e.g., dynamically reconfiguring a single physical radio to operate as distinct virtual radios across different bands).
• Mermaid Diagram:

  graph TD
      A[Application Interface] --> P[Processing Interface]
      P --> VMAC[Virtual MAC Interface]
      VMAC --> VPHY[Virtual PHY Interface]
      VPHY --> SDR_Core[SDR Core with Memristor Reconfiguration]
      SDR_Core -- Configures --> MAC_HW[Actual MAC Hardware (Reconfigurable)]
      SDR_Core -- Configures --> PHY_HW[Actual PHY Hardware (Reconfigurable)]
      MAC_HW --> PHY_HW
      PHY_HW -- Wireless Link --> Recipient[Recipient Device]
      SDR_Core -- Bandwidth & Config Info --> VPHY
  

Axis 2: Operational Parameter Expansion

Derivative 1.3: Deep-Space Communication Relay with Cryogenic, High-Frequency Transceivers

• Enabling Description: This derivative applies the virtual MAC/PHY concept to deep-space communication networks, where wireless networking devices are deployed on spacecraft or planetary habitats. Transceivers are designed to operate at extremely high frequencies (e.g., 90 GHz to 300 GHz, also known as E-band and D-band) to achieve high data rates over vast distances, and are maintained at cryogenic temperatures (e.g., below 77K) to minimize thermal noise and maximize signal-to-noise ratio (SNR). The processing interface dynamically manages multiple such transceivers (e.g., dish antennas, phased arrays) for simultaneous uplink and downlink operations, adapting to variable link conditions such as planetary occultation, solar interference, and spacecraft orientation. The virtual MAC prioritizes data streams (e.g., telemetry, scientific data, crew communications) and allocates portions of the available bandwidth from different cryogenic transceivers, potentially across different frequency windows within the high-frequency bands, to meet mission-critical requirements.
• Mermaid Diagram:

  graph TD
      A[Application Interface (Spacecraft Apps)] --> P[Processing Interface (Onboard)]
      P --> VMAC[Virtual MAC Interface]
      VMAC --> VPHY[Virtual PHY Interface]
      VPHY --> TR1[Cryogenic Transceiver 1 (E/D-band)]
      VPHY --> TR2[Cryogenic Transceiver 2 (E/D-band)]
      TR1 -- Deep Space Link --> Ground_Station1[Ground Station 1]
      TR2 -- Deep Space Link --> Ground_Station2[Ground Station 2]
      VPHY -- Resource Data --> VMAC
  

Derivative 1.4: Nanoscale Intra-body Network for Biomedical Data Streaming

• Enabling Description: This derivative envisions the wireless networking device operating at the nanoscale within a biological system (e.g., human body). Wireless transceivers are molecular or photonic nanodevices operating at ultra-low power levels and communicating via molecular signals, acoustic waves, or localized electromagnetic fields in the THz gap (0.1-10 THz) or far-infrared. The processing interface, potentially located on a larger implanted microchip, forms virtual MAC and PHY layers to manage these numerous nanoscale transceivers. The virtual MAC allocates bandwidth for streaming physiological data (e.g., glucose levels, neural activity, drug delivery status) from multiple points within the body to a central collector. The operational parameters include extremely low signal-to-noise ratios, high attenuation, and dynamic biological interference. The virtual PHY intelligently selects optimal communication channels (e.g., specific molecular signals or acoustic frequencies) and dynamically aggregates the limited bandwidths of many nanoscale transceivers to meet the cumulative data stream requirements, while maintaining non-blocking utilization for other nanodevices.
• Mermaid Diagram:

  graph TD
      A[Application Interface (Biomedical Sensors)] --> P[Processing Interface (Implanted Microchip)]
      P --> VMAC[Virtual MAC Interface]
      VMAC --> VPHY[Virtual PHY Interface]
      VPHY --> NanoTR1[Nanoscale Transceiver 1]
      VPHY --> NanoTR2[Nanoscale Transceiver 2]
      VPHY --> NanoTR_N[Nanoscale Transceiver N]
      NanoTR1 -- Intra-body Link --> Collector[Central Data Collector]
      NanoTR2 -- Intra-body Link --> Collector
      NanoTR_N -- Intra-body Link --> Collector
      VPHY -- Health Data --> VMAC
  

Axis 3: Cross-Domain Application

Derivative 1.5: Automated Port & Logistics Management (Industrial Automation)

• Enabling Description: In a large-scale automated port or logistics hub, the wireless networking device (e.g., a central control unit or a mobile robotic gateway) manages communication for hundreds of autonomous guided vehicles (AGVs), robotic cranes, and sensor arrays. The application layer includes tasks like real-time AGV control, cargo tracking, and security surveillance. The actual transceivers (e.g., Wi-Fi 6E, mmWave, private 5G NR) are deployed on AGVs, cranes, and fixed infrastructure, operating across diverse spectrums to handle high-bandwidth video feeds, low-latency control commands, and intermittent sensor data. The processing interface, with its virtual MAC and PHY, dynamically aggregates and allocates transceiver bandwidths. For instance, a critical AGV requiring high-bandwidth, low-latency control during a complex maneuver might be allocated dedicated bandwidth from multiple mmWave transceivers, while background cargo tracking data uses aggregated Wi-Fi 6E channels. Simultaneous transmit/receive operations are essential for real-time fleet coordination.
• Mermaid Diagram:

  graph TD
      A[Logistics Control Apps] --> P[Processing Interface (Control Unit)]
      P --> VMAC[Virtual MAC]
      VMAC --> VPHY[Virtual PHY]
      VPHY --> TR_AGV1[AGV Transceiver 1 (mmWave/5G)]
      VPHY --> TR_Crane1[Crane Transceiver 1 (Wi-Fi 6E)]
      VPHY --> TR_SensorArray[Sensor Array Transceiver (LoRa/Wi-Fi)]
      TR_AGV1 -- Wireless Link --> AGV_Fleet[AGV Fleet]
      TR_Crane1 -- Wireless Link --> Robotic_Cranes[Robotic Cranes]
      TR_SensorArray -- Wireless Link --> Env_Sensors[Environmental Sensors]
      VPHY -- Bandwidth Allocation --> VMAC
  

Derivative 1.6: Agricultural Field Monitoring and Drone Swarm Control (AgTech)

• Enabling Description: This application involves a central agricultural gateway managing a network of IoT crop sensors, automated irrigation systems, and a swarm of agricultural drones. The applications demand high-resolution imagery and video from drones, real-time soil and weather data from sensors, and control signals for irrigation. The wireless networking device (gateway) uses multiple transceivers (e.g., sub-GHz LoRa for long-range sensor data, Wi-Fi HaLow for medium-range, and dedicated 5.8 GHz or 2.4 GHz for drone control/telemetry). The virtual MAC/PHY dynamically assigns bandwidth. For example, when a drone is transmitting high-definition multispectral imagery, it is allocated multiple channels across different 5.8 GHz radios. Simultaneously, low-bandwidth sensor data continues to be collected over LoRa. The system constantly monitors channel conditions (e.g., interference from other farm equipment, weather effects) to reallocate receive bandwidth transparently, as described in Claim 20.
• Mermaid Diagram:

  graph TD
      A[AgTech Apps (Drone Control, Sensor Mgmt)] --> P[Processing Interface (Farm Gateway)]
      P --> VMAC[Virtual MAC]
      VMAC --> VPHY[Virtual PHY]
      VPHY --> TR_Drone[Drone Transceiver (5.8GHz)]
      VPHY --> TR_Sensor[Sensor Transceiver (LoRa/HaLow)]
      VPHY --> TR_Irrigation[Irrigation System Transceiver (Wi-Fi)]
      TR_Drone -- Wireless Link --> Drone_Swarm[Agricultural Drone Swarm]
      TR_Sensor -- Wireless Link --> Crop_Sensors[IoT Crop Sensors]
      TR_Irrigation -- Wireless Link --> Irrigation_Sys[Automated Irrigation]
      VPHY -- Resource Status --> VMAC
  

Derivative 1.7: Crowd-Sourced Public Safety and Emergency Response (Smart City/Public Safety)

• Enabling Description: In urban environments during emergencies, a mobile or temporary base station (wireless networking device) dynamically establishes a resilient network. It leverages diverse wireless transceivers including commercial cellular bands (LTE/5G), Wi-Fi (2.4/5/6 GHz), Citizens Broadband Radio Service (CBRS), and dedicated public safety bands (e.g., FirstNet). Applications include live video streaming from first responders, emergency alerts to citizens' devices, and data offload from congested commercial networks. The virtual MAC/PHY dynamically allocates and aggregates these diverse transceivers to ensure critical communications have priority and sufficient bandwidth. For instance, high-definition video from a responder's body camera might be allocated bandwidth across available FirstNet and CBRS channels, while general public alerts utilize less congested Wi-Fi channels. The system is designed to identify and utilize any available spectrum portion, even fragmented ones, to maintain network access during infrastructure failures.
• Mermaid Diagram:

  graph TD
      A[Emergency Response Apps] --> P[Processing Interface (Mobile Base Station)]
      P --> VMAC[Virtual MAC]
      VMAC --> VPHY[Virtual PHY]
      VPHY --> TR_Cellular[Cellular Transceiver (5G/LTE)]
      VPHY --> TR_WiFi[Wi-Fi Transceiver (2.4/5/6GHz)]
      VPHY --> TR_PS[Public Safety Transceiver (FirstNet/CBRS)]
      TR_Cellular -- Wireless Link --> Responder_Devices[First Responder Devices]
      TR_WiFi -- Wireless Link --> Public_Devices[Citizen Devices]
      TR_PS -- Wireless Link --> Command_Center[Command Center]
      VPHY -- Traffic & Resource --> VMAC
  

Axis 4: Integration with Emerging Tech

Derivative 1.8: AI-Driven Predictive Bandwidth Allocation and Cognitive Spectrum Management

• Enabling Description: The processing interface's virtual MAC and PHY layers are enhanced with an Artificial Intelligence (AI) engine, specifically a Deep Reinforcement Learning (DRL) agent. This DRL agent continuously monitors network traffic patterns, application bandwidth requirements, transceiver performance metrics, and real-time environmental RF conditions (e.g., interference, fading, channel occupancy) using IoT sensors. The AI engine predicts future bandwidth demands and channel availability, proactively optimizing transceiver resource allocation, frequency band selection, and power levels. It learns optimal strategies for aggregating multiple transceivers and dynamically configuring variable duplex links (as described in the patent) to maximize throughput and minimize latency across the entire network, even before congestion or interference occurs. The feedback loop from the virtual PHY to the virtual MAC now includes AI-generated recommendations for resource management.
• Mermaid Diagram:

  graph TD
      A[Application Interface] --> P[Processing Interface]
      P --> VMAC[Virtual MAC]
      P --> AI_Engine[AI Engine (DRL)]
      VMAC --> VPHY[Virtual PHY]
      VPHY --> Actual_MAC_PHY[Actual MAC/PHY Interfaces & Transceivers]
      Actual_MAC_PHY -- Performance Metrics & RF Conditions --> VPHY
      VPHY -- Bandwidth Info & Environmental Data --> AI_Engine
      AI_Engine -- Predictive Allocation & Config --> VMAC
      Actual_MAC_PHY -- Wireless Links --> Recipient[Recipient Devices]
  

Derivative 1.9: IoT Sensor-Augmented Context-Aware Network with Real-time Environmental Feedback

• Enabling Description: The wireless networking device incorporates a dense array of integrated IoT environmental sensors (e.g., temperature, humidity, atmospheric pressure, air quality, motion detectors, acoustic sensors, and RF spectrum analyzers). These sensors provide real-time, fine-grained context about the immediate physical environment where the wireless transceivers operate. The virtual PHY layer continuously collects this sensor data. The virtual MAC uses this enriched environmental feedback to make highly informed decisions for bandwidth allocation and transceiver configuration. For example, high humidity might impact mmWave performance, prompting dynamic shifting to lower frequency bands or aggregation of more Wi-Fi transceivers. Acoustic sensors could detect heavy machinery operation causing interference, triggering an immediate reallocation of spectrum away from the affected bands. This goes beyond simple resource availability, incorporating the physical context for adaptive optimization.
• Mermaid Diagram:

  graph TD
      A[Application Interface] --> P[Processing Interface]
      P --> VMAC[Virtual MAC]
      VMAC --> VPHY[Virtual PHY]
      VPHY --> Actual_MAC_PHY[Actual MAC/PHY Interfaces & Transceivers]
      Actual_MAC_PHY -- Wireless Links --> Recipient[Recipient Devices]
      VPHY -- Transceiver Status --> VMAC
      IoT_Sensors[Integrated IoT Environmental Sensors] -- Real-time Data --> VPHY
      VPHY -- Environmental Context --> VMAC
  

Derivative 1.10: Blockchain-Enabled Verifiable Spectrum Allocation and Resource Trading

• Enabling Description: The processing interface, specifically the virtual MAC, integrates with a distributed ledger technology (DLT) or blockchain network. This blockchain serves as an immutable record for spectrum allocation, bandwidth usage rights, and agreements between multiple networking devices or service providers. When the virtual MAC allocates portions of bandwidth from actual transceivers, these allocations are recorded as transactions on the blockchain, providing transparency and verifiability. This allows for dynamic, real-time trading or sharing of spectrum resources between different wireless networking devices (e.g., multiple access points in a shared environment) based on smart contracts. The virtual PHY reports actual utilization, which is then validated against blockchain records. This enables a dynamic marketplace for spectrum, allowing a device to acquire temporary additional bandwidth or offload unused capacity, with all transactions cryptographically secured.
• Mermaid Diagram:

  graph TD
      A[Application Interface] --> P[Processing Interface]
      P --> VMAC[Virtual MAC]
      P --> Blockchain_Module[Blockchain Module]
      VMAC --> VPHY[Virtual PHY]
      VPHY --> Actual_MAC_PHY[Actual MAC/PHY Interfaces & Transceivers]
      Actual_MAC_PHY -- Wireless Links --> Recipient[Recipient Devices]
      VPHY -- Bandwidth Usage Data --> Blockchain_Module
      Blockchain_Module -- Spectrum Rights & Agreements --> VMAC
      VMAC -- Allocation Transactions --> Blockchain_Module
  

Axis 5: The "Inverse" or Failure Mode

Derivative 1.11: Redundant Low-Power Failover Mode for Critical Infrastructure

• Enabling Description: This derivative implements a specialized "failover" mode within the wireless networking device for scenarios of primary power loss or critical transceiver failure. The processing interface includes dedicated, low-power processing logic (e.g., an independent microcontroller with minimal firmware) and a subset of actual transceivers (e.g., a single sub-GHz LoRa or narrowband IoT radio) powered by a backup battery or energy harvesting system. In the event of primary system failure, the virtual MAC/PHY seamlessly transitions to this low-power failover mode. The application layer switches to critical-only functions (e.g., emergency alerts, minimal telemetry). The virtual MAC aggregates the remaining low-power transceivers (or reconfigures a single one for multiple tasks) to ensure a guaranteed minimum data rate for essential communications, prioritizing emergency data streams. The system maintains continuous, albeit reduced, connectivity, transparently informing connected recipients of the degraded state.
• Mermaid Diagram:

  graph TD
      P[Processing Interface (Primary)] --> VMAC_P[Virtual MAC (Primary)]
      VMAC_P --> VPHY_P[Virtual PHY (Primary)]
      VPHY_P --> TR_Full_Power[Full Power Transceivers]
      TR_Full_Power -- High Bandwidth Link --> Recipients_Full[Normal Operation Recipients]
  
      P -- Failure Detected --> Failover_Logic[Failover Logic]
      Failover_Logic --> VMAC_LP[Virtual MAC (Low Power)]
      Failover_Logic --> VPHY_LP[Virtual PHY (Low Power)]
      VMAC_LP --> App_LP[Critical Apps (Low Power)]
      VPHY_LP --> TR_Low_Power[Low Power Transceiver(s)]
      TR_Low_Power -- Emergency Link --> Recipients_LP[Emergency Recipients]
  
      TR_Full_Power -- Status --> Failover_Logic
  

Derivative 1.12: Degraded Performance "Eco-Mode" with Prioritized Service

• Enabling Description: This derivative introduces an "Eco-Mode" for the wireless networking device, which is activated either manually, on a schedule, or automatically when power constraints are detected (e.g., battery level drops, grid power instability). In Eco-Mode, the processing interface's virtual MAC and PHY actively reduce power consumption by dynamically deactivating non-essential transceivers, lowering transmit power, or reducing sampling rates. The virtual MAC reprioritizes application bandwidth requirements, satisfying critical applications (e.g., security monitoring) with a guaranteed minimum bandwidth from a reduced set of transceivers, while non-critical applications (e.g., large file downloads) experience significantly lower throughput or are temporarily paused. This is achieved transparently to higher layers by the virtual MAC's intelligent resource allocation, similar to the existing mechanism but with an explicit constraint on energy budget. The virtual PHY dynamically reconfigures the remaining active transceivers to operate at optimal efficiency points rather than peak performance.
• Mermaid Diagram:

  graph TD
      A[Application Interface] --> P[Processing Interface]
      P --> VMAC[Virtual MAC]
      VMAC --> VPHY[Virtual PHY]
      VPHY --> TR1_Active[Transceiver 1 (Active)]
      VPHY --> TR2_Active[Transceiver 2 (Active)]
      VPHY --> TR3_Inactive[Transceiver 3 (Inactive - Eco Mode)]
      TR1_Active -- Link --> Recipient1[Recipient 1 (Prioritized)]
      TR2_Active -- Link --> Recipient2[Recipient 2 (Reduced)]
  
      P -- Power Constraint --> Eco_Mode_Ctrl[Eco Mode Controller]
      Eco_Mode_Ctrl -- Optimize/Deactivate --> VPHY
      Eco_Mode_Ctrl -- Prioritize --> VMAC
  

---

Derivatives of Core Claim 20

Claim 20 Summary (Recap from previous output): Focuses on dynamic, transparent reallocation of receive bandwidth for a selected wireless transceiver if its identified portion becomes unavailable or if more bandwidth becomes available, without requiring recipient disassociation.

Axis 1: Material & Component Substitution

Derivative 2.1: Reconfigurable Intelligent Surface (RIS)-Assisted Receive Path Optimization

• Enabling Description: This derivative integrates Reconfigurable Intelligent Surfaces (RIS) as a core component of the receive path. An RIS is an array of passive, low-power metamaterial elements whose reflection/refraction properties can be dynamically controlled (e.g., phase shifts). The virtual PHY layer, in conjunction with localized sensing modules, detects changes in the receive signal path (e.g., blockage, interference, mobility of recipient). Instead of solely reallocating frequency bands, the virtual PHY computes optimal phase shifts for the RIS elements to steer the incoming signal, create virtual line-of-sight paths, or suppress interference, thereby effectively identifying a "new portion" of bandwidth by enhancing the quality and availability of the existing spectrum. If RIS optimization is insufficient, the virtual PHY then proceeds to traditional frequency reallocation across other transceivers. This re-optimization happens transparently and without requiring the recipient to re-associate.
• Mermaid Diagram:

  graph TD
      R[Second Recipient] -- Wireless Signal --> RIS[Reconfigurable Intelligent Surface]
      RIS --> Rx_Antenna[Receive Antenna Array]
      Rx_Antenna --> Actual_PHY[Actual PHY Layer]
      Actual_PHY --> VPHY[Virtual PHY Interface]
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface]
      VPHY -- RIS Control & Feedback --> RIS
      VPHY -- Bandwidth Info & Status --> VMAC
      P -- App Data --> A[Application Layer]
  

Derivative 2.2: Photonic Integrated Circuit (PIC) based Tunable Receiver Front-End

• Enabling Description: This derivative utilizes a Photonic Integrated Circuit (PIC) for the tunable receiver front-end of the wireless transceiver. The PIC incorporates optical components (waveguides, modulators, filters, detectors) that allow for ultra-wideband signal reception and highly selective frequency filtering. When the virtual PHY detects a change in the availability of a receive bandwidth portion, it sends control signals to the PIC to rapidly reconfigure its optical filters and demodulators. This enables instantaneous switching between different frequency subsets (e.g., dynamically filtering out interference or tuning into a newly available clean channel) across a very broad spectrum, achieving the "identifying at least one new portion of bandwidth" step with optical precision and speed. The PIC can also perform analog-to-digital conversion and beamforming functions in the optical domain before converting to electrical signals for further processing.
• Mermaid Diagram:

  graph TD
      R[Second Recipient] -- Wireless Signal --> RF_Antenna[RF Antenna]
      RF_Antenna --> Opto_Conv[RF-to-Optical Converter]
      Opto_Conv --> PIC_Rx[Photonic Integrated Circuit Receiver]
      PIC_Rx --> Actual_PHY[Actual PHY Layer]
      Actual_PHY --> VPHY[Virtual PHY Interface]
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface]
      VPHY -- PIC Control Signals --> PIC_Rx
      VPHY -- Bandwidth Info & Status --> VMAC
      P -- App Data --> A[Application Layer]
  

Axis 2: Operational Parameter Expansion

Derivative 2.3: Atmospheric Free-Space Optical (FSO) Link Adaptation for Hyperspectral Data

• Enabling Description: This derivative extends the concept to atmospheric Free-Space Optical (FSO) communication links, which are highly susceptible to environmental factors like fog, rain, scintillation, and atmospheric absorption. The "wireless transceiver" here includes an FSO optical transponder capable of operating across multiple optical wavelengths (hyperspectral channels). The virtual PHY layer continuously monitors atmospheric conditions (e.g., using integrated lidar, humidity sensors, turbulence meters) and the SNR of each optical channel. If a specific wavelength channel's receive bandwidth degrades (e.g., due to dense fog), the virtual PHY dynamically identifies and switches to or aggregates other less affected optical wavelength channels, or even shifts to a backup RF channel if optical conditions become prohibitive. This reallocation of "new portions" of receive bandwidth across the hyperspectral optical domain or to alternative RF is transparent to the data application and maintains continuous reception of, for example, high-resolution satellite imagery or scientific data.
• Mermaid Diagram:

  graph TD
      SAT[Satellite (Sender)] -- FSO Link (Multi-wavelength) --> FSO_Rx[FSO Receiver (Hyperspectral)]
      FSO_Rx --> Env_Sensors[Atmospheric Sensors]
      FSO_Rx --> Actual_PHY[Actual PHY Layer]
      Actual_PHY --> VPHY[Virtual PHY Interface]
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface]
      Env_Sensors -- Atmospheric Data --> VPHY
      VPHY -- Wavelength Reallocation --> FSO_Rx
      VPHY -- Link Status --> VMAC
      P -- Data Stream --> A[Application Layer]
  

Derivative 2.4: Sub-Terahertz (THz) Band Dynamic Spatial Multiplexing for Edge Computing

• Enabling Description: This derivative applies the receive reallocation to sub-Terahertz (THz) wireless communication, which offers extremely high bandwidth but suffers from high path loss and sensitivity to blockage. The wireless networking device is an edge computing node equipped with multiple THz transceivers, each capable of highly directional beamforming and spatial multiplexing. The virtual PHY layer continuously assesses the receive channel quality and potential blockages for incoming THz data streams (e.g., from nearby high-density sensors or augmented reality devices). If a current spatial path or THz frequency sub-band becomes unavailable or degraded, the virtual PHY transparently identifies a "new portion" of bandwidth by either: 1) shifting to an alternative THz frequency sub-band, or 2) dynamically reconfiguring beamforming on an alternative THz transceiver to establish a new spatial path for reception, or 3) aggregating portions of bandwidth from multiple THz transceivers operating in different spatial directions or frequencies. This ensures continuous, ultra-high-speed data reception for edge applications.
• Mermaid Diagram:

  graph TD
      S[Sender (e.g., AR Device)] -- THz Beam --> THz_TR_A[THz Transceiver A]
      S -- THz Beam --> THz_TR_B[THz Transceiver B]
      THz_TR_A --> Actual_PHY_A[Actual PHY A]
      THz_TR_B --> Actual_PHY_B[Actual PHY B]
      Actual_PHY_A --> VPHY[Virtual PHY Interface]
      Actual_PHY_B --> VPHY
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface (Edge Node)]
      P -- App Data --> A[Application Layer]
      VPHY -- Spatial/Freq Reconfig --> THz_TR_A
      VPHY -- Spatial/Freq Reconfig --> THz_TR_B
      VPHY -- Receive Status --> VMAC
  

Axis 3: Cross-Domain Application

Derivative 2.5: Real-time Medical Imaging Data Ingestion (Healthcare)

• Enabling Description: In a hospital environment, a wireless networking device (e.g., a central imaging gateway) receives massive, continuous data streams from portable medical imaging devices (e.g., wireless ultrasound, portable MRI units, high-resolution endoscopic cameras). These devices operate in various hospital-approved frequency bands (e.g., dedicated Wi-Fi 6E channels, possibly mmWave for local high-throughput). The virtual MAC/PHY manages these diverse receive requirements. If a particular transceiver's receive capacity for a real-time ultrasound stream is impacted by interference (e.g., from other medical equipment or network congestion), the processing interface transparently identifies a "new portion" of bandwidth. This could involve dynamically shifting the ultrasound stream to another available Wi-Fi 6E channel, aggregating receive capacity from a previously underutilized mmWave transceiver, or even utilizing a temporary, less congested cellular band if available, all without interrupting the live image acquisition from the portable device.
• Mermaid Diagram:

  graph TD
      IMG_DEV[Medical Imaging Device] -- Wireless Link --> TR1_Rx[Transceiver 1 (Rx)]
      IMG_DEV -- Wireless Link --> TR2_Rx[Transceiver 2 (Rx)]
      TR1_Rx --> Actual_PHY1[Actual PHY 1]
      TR2_Rx --> Actual_PHY2[Actual PHY 2]
      Actual_PHY1 --> VPHY[Virtual PHY Interface]
      Actual_PHY2 --> VPHY
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface (Imaging Gateway)]
      P -- Processed Image Data --> A[Medical Imaging Apps]
      VPHY -- Rx Channel Status --> VMAC
      VMAC -- Reallocate Rx BW --> VPHY
  

Derivative 2.6: Autonomous Underwater Vehicle (AUV) Swarm Communication with Dynamic Acoustic/Optical Channels (Oceanography/Defense)

• Enabling Description: A command vessel acts as a wireless networking device, receiving data from a swarm of AUVs in a dynamic underwater environment. AUVs communicate via a combination of acoustic modems (long-range, low-bandwidth, prone to multipath) and blue-green laser optical links (short-range, high-bandwidth, line-of-sight dependent). The virtual MAC/PHY on the command vessel manages these heterogeneous receive channels. If an AUV's acoustic link degrades due to changing water conditions or distance, the virtual PHY transparently identifies and switches to an available optical channel if the AUV comes within range, or reallocates more receive bandwidth from another acoustic modem (e.g., operating at a different frequency or with advanced signal processing) to maintain critical telemetry and sensor data reception. The system must adapt to unpredictable factors like marine life interference, thermoclines, and turbidity, ensuring continuous data flow without requiring AUV re-association.
• Mermaid Diagram:

  graph TD
      AUV1[AUV 1] -- Acoustic Link --> Acoustic_Rx1[Acoustic Receiver 1]
      AUV1 -- Optical Link --> Optical_Rx1[Optical Receiver 1]
      AUV2[AUV 2] -- Acoustic Link --> Acoustic_Rx2[Acoustic Receiver 2]
      Acoustic_Rx1 --> Actual_PHY_A1[Actual PHY (Acoustic)]
      Optical_Rx1 --> Actual_PHY_O1[Actual PHY (Optical)]
      Acoustic_Rx2 --> Actual_PHY_A2[Actual PHY (Acoustic)]
      Actual_PHY_A1 --> VPHY[Virtual PHY Interface]
      Actual_PHY_O1 --> VPHY
      Actual_PHY_A2 --> VPHY
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface (Command Vessel)]
      P -- Data Analysis --> A[Oceanography/AUV Ops]
      VPHY -- Channel Quality --> VMAC
      VMAC -- Reallocate Channel --> VPHY
  

Derivative 2.7: Disaster Relief Network with Adaptive Mesh and Opportunistic Spectrum (Humanitarian Aid)

• Enabling Description: In a disaster zone with damaged infrastructure, a mobile base station acts as the wireless networking device, establishing an ad-hoc mesh network. It uses diverse transceivers: satellite transceivers (for backhaul), long-range Wi-Fi (e.g., Wi-Fi HaLow), and opportunistic scanning of unlicensed bands (e.g., ISM bands). Applications include emergency communications, search and rescue coordination, and providing internet access to affected populations. The virtual MAC/PHY dynamically reallocates receive bandwidth. If a satellite link degrades (e.g., due to weather), the system transparently shifts critical voice traffic to aggregated Wi-Fi HaLow mesh links while continuously scanning for and utilizing any temporarily available, unlicenced spectrum. The virtual PHY intelligently identifies "new portions" of bandwidth by adapting to transient clear channels or by forming directional links with other mesh nodes that have better reception, without forcing connected client devices (e.g., responders' radios, survivors' smartphones) to re-establish connections.
• Mermaid Diagram:

  graph TD
      SAT_GW[Satellite Gateway] -- Satellite Link --> SAT_TR_Rx[Satellite Transceiver (Rx)]
      MESH_NODE1[Mesh Node 1] -- Wi-Fi HaLow --> HaLow_TR_Rx1[HaLow Transceiver (Rx) 1]
      MESH_NODE2[Mesh Node 2] -- Opportunistic Link --> Opp_TR_Rx1[Opportunistic Transceiver (Rx) 1]
      SAT_TR_Rx --> Actual_PHY_SAT[Actual PHY (Satellite)]
      HaLow_TR_Rx1 --> Actual_PHY_HALOW[Actual PHY (HaLow)]
      Opp_TR_Rx1 --> Actual_PHY_OPP[Actual PHY (Opportunistic)]
      Actual_PHY_SAT --> VPHY[Virtual PHY Interface]
      Actual_PHY_HALOW --> VPHY
      Actual_PHY_OPP --> VPHY
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface (Mobile Base Station)]
      P -- Emergency Data --> A[SAR/Aid Apps]
      VPHY -- Spectrum Scan Data --> VMAC
      VMAC -- Reconfigure Rx --> VPHY
  

Axis 4: Integration with Emerging Tech

Derivative 2.8: Machine Learning-Enabled Adaptive Interference Mitigation and Spectrum Shaping

• Enabling Description: The virtual PHY layer incorporates a Machine Learning (ML) model (e.g., a Convolutional Neural Network or Recurrent Neural Network) trained on vast datasets of RF interference patterns, channel characteristics, and successful receive reallocations. This ML model operates in real-time to analyze incoming RF signals and spectral data from the transceivers. When a receive channel degrades or new interference appears, the ML model rapidly predicts the optimal "new portion" of bandwidth for reception. This could involve not just frequency hopping, but also dynamic waveform shaping, adaptive equalization, or advanced beamforming parameters on available transceivers to actively mitigate specific interference types. The ML model allows the virtual PHY to transparently adapt receive operations with unprecedented speed and precision, learning from past successful reconfigurations to maintain seamless data reception.
• Mermaid Diagram:

  graph TD
      R[Second Recipient] -- Wireless Signal --> TR_Rx[Receive Transceiver(s)]
      TR_Rx --> Actual_PHY[Actual PHY Layer]
      Actual_PHY --> VPHY[Virtual PHY Interface]
      VPHY --> ML_Engine[ML Engine (Interference Mitigation)]
      ML_Engine -- Optimal Rx Config --> VPHY
      VPHY -- Rx Channel Status & Raw Signal --> ML_Engine
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface]
      P -- App Data --> A[Application Layer]
  

Derivative 2.9: Digital Twin-Assisted Predictive Receive Channel Optimization

• Enabling Description: This derivative implements a "Digital Twin" of the entire wireless networking environment, including all transceivers, their physical locations, surrounding obstacles, known interference sources, and predicted traffic loads. The Digital Twin is a continuously updated virtual model. The processing interface, particularly the virtual MAC and virtual PHY, feeds real-time telemetry from actual transceivers and IoT sensors into the Digital Twin. When a receive bandwidth portion shows signs of degradation or a new demand arises, the Digital Twin is used to run high-fidelity simulations of various reallocation strategies. It can predict the performance of moving a receive stream to a "new portion" of bandwidth (different frequency, different transceiver, different antenna configuration) before the actual change is implemented. This predictive capability allows for proactive and highly optimized transparent reallocation of receive resources, minimizing disruption and maximizing efficiency.
• Mermaid Diagram:

  graph TD
      R[Second Recipient] -- Wireless Signal --> TR_Rx[Receive Transceiver(s)]
      TR_Rx --> Actual_PHY[Actual PHY Layer]
      Actual_PHY --> VPHY[Virtual PHY Interface]
      VPHY --> Digital_Twin[Digital Twin (Network Model)]
      VPHY -- Real-time Telemetry --> Digital_Twin
      Digital_Twin -- Predictive Opt. --> VPHY
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface]
      P -- App Data --> A[Application Layer]
  

Derivative 2.10: Edge Computing-Assisted Micro-reallocation of Receive Resources

• Enabling Description: The wireless networking device offloads computationally intensive tasks related to spectrum sensing, interference analysis, and optimal receive path calculation to a co-located or nearby edge computing node. The virtual PHY layer, instead of performing all complex analytics locally, sends raw spectral data and channel state information to the edge compute for rapid processing. The edge node, with its greater computational resources, quickly identifies "new portions" of available receive bandwidth, considering highly localized and transient channel conditions. It then returns optimized transceiver configuration parameters (e.g., specific frequency channels, antenna settings, demodulation schemes) to the virtual PHY for immediate implementation. This allows for extremely rapid, fine-grained, and adaptive micro-reallocation of receive resources, ensuring ultra-low-latency data reception for demanding edge applications without impacting client association.
• Mermaid Diagram:

  graph TD
      R[Second Recipient] -- Wireless Signal --> TR_Rx[Receive Transceiver(s)]
      TR_Rx --> Actual_PHY[Actual PHY Layer]
      Actual_PHY --> VPHY[Virtual PHY Interface]
      VPHY -- Raw Spectrum Data --> Edge_Compute[Edge Computing Node]
      Edge_Compute -- Optimized Rx Config --> VPHY
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface]
      P -- App Data --> A[Application Layer]
  

Axis 5: The "Inverse" or Failure Mode

Derivative 2.11: Guaranteed Minimum Receive Bandwidth for Critical Safety Alerts (Fail-Safe)

• Enabling Description: This derivative introduces a "fail-safe" mode for receiving critical safety alerts or commands. The virtual MAC is programmed with a list of prioritized critical data streams (e.g., evacuation orders, system shutdown commands). If the primary receive bandwidth for these streams becomes entirely unavailable (e.g., all high-bandwidth transceivers fail or are heavily jammed), the virtual PHY initiates a low-power, wide-area scan using a dedicated, hardened transceiver (e.g., a robust, low-data-rate paging or satellite receiver). The system actively searches for any functional receive channel or frequency subset, even severely degraded ones, to establish a minimal-data-rate link for these critical streams. The virtual MAC prioritizes processing resources to recover and decode these streams, overriding all other receive activities. This "new portion of bandwidth" might be extremely small and previously ignored, but it is specifically identified and utilized for fail-safe operation, without requiring the sender of the critical alert to re-associate.
• Mermaid Diagram:

  graph TD
      S_Crit[Critical Sender] -- Primary Link --> TR_Rx_Primary[Primary Receive Transceiver(s)]
      TR_Rx_Primary --> Actual_PHY_P[Actual PHY (Primary)]
      Actual_PHY_P --> VPHY[Virtual PHY Interface]
  
      VPHY -- Failure Detected --> Fail_Safe_Logic[Fail-Safe Logic]
      Fail_Safe_Logic -- Activate Scavenge --> VPHY
      VPHY --> TR_Rx_Hardened[Hardened Low-Power Transceiver]
      TR_Rx_Hardened -- Scavenged Link --> S_Crit
  
      VPHY --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface]
      P -- Critical Alerts --> A[Safety Applications]
      VPHY -- Scavenged BW Info --> VMAC
  

Derivative 2.12: Passive "Listen-Only" Mode for Spectrum Analysis and Interference Mapping

• Enabling Description: This derivative implements a "listen-only" or passive monitoring mode. When receive bandwidth is not required for active data streams, or during periods of low activity, the processing interface's virtual PHY automatically switches into this mode. It continuously scans and maps the local RF spectrum across all available transceivers, identifying active channels, interference sources, and quiet bands. While not actively receiving data for an application, this process is continuously "identifying new portions of bandwidth availability" by building a detailed real-time spectral awareness database. This information is fed back to the virtual MAC. When a new application bandwidth requirement arises, the virtual MAC can instantly draw upon this pre-scanned and mapped "available bandwidth portions" knowledge for rapid, optimal allocation, minimizing the time needed for initial channel discovery and improving the efficiency of the first data reception, effectively pre-empting the need for reactive reallocation.
• Mermaid Diagram:

  graph TD
      TR_Rx_All[All Receive Transceivers] --> Actual_PHY_All[All Actual PHY Layers]
      Actual_PHY_All --> VPHY[Virtual PHY Interface]
      VPHY -- Spectrum Scan Data --> Spectrum_DB[Spectrum Awareness Database]
      Spectrum_DB --> VPHY
      VPHY -- Available BW Map --> VMAC[Virtual MAC Interface]
      VMAC --> P[Processing Interface]
      P -- On-Demand App Data --> A[Application Layer]
      A -- BW Request --> VMAC
      VMAC -- Initial BW Allocation --> VPHY
  

---

Combination Prior Art Scenarios with Open-Source Standards

Here are at least three combination prior art scenarios where US11974143 could be combined with existing open-source standards to demonstrate obviousness of future improvements:

1. US11974143 + OpenFlow/SDN (Software-Defined Networking):

   • Description: The virtual MAC and virtual PHY layers described in US11974143 (FIG. 1, 3, 8) act as local controllers and data plane elements, respectively, within a wireless networking device. Combining this with an OpenFlow-enabled Software-Defined Networking (SDN) architecture would involve the virtual MAC/PHY layers exposing their resource allocation capabilities and bandwidth availability information to a centralized OpenFlow controller. The OpenFlow controller, using standard OpenFlow protocols, could then orchestrate the dynamic allocation of multiple wireless transceiver resources (both transmit and receive) across multiple virtual MAC/PHY-enabled networking devices (e.g., access points, relays) within a larger SDN-managed wireless network. The controller would dynamically push flow rules and resource assignments to the virtual MAC, instructing it to allocate specific frequency subsets from selected transceivers to meet application-specific QoS, enhancing network-wide spectrum efficiency and dynamic routing. The transparent reallocation described in Claim 20 would then be orchestrated by the central controller, informed by device-level virtual PHY feedback.
   • Reference Standard: OpenFlow Specification (e.g., OpenFlow Switch Specification v1.5.0), widely available as an open standard for SDN.

2. US11974143 + Linux Kernel Networking Stack (e.g., Netfilter/iproute2):

   • Description: The processing interface, virtual MAC, and virtual PHY concepts of US11974143 could be implemented as extensions or modules within the Linux kernel's networking stack. The kernel's existing multi-queue networking interfaces, software-defined radio frameworks (e.g., using cfg80211 or custom driver modules), and traffic control mechanisms (tc command with Netfilter/conntrack) would be leveraged. The virtual MAC logic would integrate with kernel-level packet scheduling and flow classification, while the virtual PHY would directly interface with multi-radio hardware drivers. Dynamic bandwidth allocation (Claim 1) and transparent receive reallocation (Claim 20) would be managed at the kernel level, using existing Netlink interfaces for user-space applications to declare bandwidth requirements. This allows for fine-grained control over actual MAC/PHY hardware resources, including the ability to bond multiple physical interfaces (e.g., using teamd or bonding drivers) for aggregated bandwidth, and to isolate frequency subsets using kernel-level filtering.
   • Reference Standard: The Linux kernel source code and its networking stack components (e.g., net/mac80211, drivers/net/wireless, net/ipv4/netfilter/, iproute2 utilities).

3. US11974143 + O-RAN (Open Radio Access Network) Architecture:

   • Description: The virtual MAC and virtual PHY concepts align directly with the disaggregated and virtualized functions in the O-RAN architecture. The wireless networking device, as an O-RAN compliant Radio Unit (O-RU) or Distributed Unit (O-DU), would implement the actual MAC/PHY layers. The virtual MAC/PHY functionality could reside within the O-DU or even in a higher-layer O-RAN Centralized Unit (O-CU). The O-RAN Near-Real-time RIC (RAN Intelligent Controller) and Non-Real-time RIC would interact with the virtual MAC to optimize resource allocation across multiple O-RUs, utilizing the E2 interface for control messages. The virtual PHY would provide detailed radio resource status via O-RAN interfaces (e.g., O1, A1). This combination enables dynamic spectrum sharing, multi-band aggregation (Claim 1), and proactive traffic steering based on AI/ML applications (xApps/rApps) running on the RIC, ensuring transparent and adaptive receive reallocation (Claim 20) across a heterogeneous O-RAN deployment.
   • Reference Standard: O-RAN Alliance specifications (e.g., O-RAN Fronthaul Specification, O-RAN Overall Architecture Technical Specification), publicly available.