US 6430408

Analysis of U.S. Patent 6430408: A System for Market-Based Allocation of Wireless Network Resources

Washington D.C. - A detailed analysis of United States Patent 6430408, titled "Allocating antenna-provided communications services," reveals a method for managing wireless network traffic by creating a market-based system for enhanced services. This patent, issued on August 6, 2002, describes a dynamic bidding and pricing mechanism to allocate limited network resources, such as higher bandwidth or improved signal quality, to mobile users who value them most.

The patent was originally assigned to Motorola, Inc., and now lists Google Technology Holdings LLC as the current assignee. The inventor is Jheroen Pieter Dorenbosch. The application for this patent was filed on May 16, 2000.

Abstract of the Invention

The official abstract describes a communications system comprising an antenna and at least one mobile unit. The core of the invention is a method to establish a price that a mobile unit is willing to pay to receive an "enhanced communications service." Upon agreement, the antenna provides this enhanced service to the mobile unit that pays the established price.

Plain-Language Overview of Independent Claims

The patent includes several independent claims, which define the core scope of the invention. In essence, they describe different facets of a system where network services are treated as commodities that can be bought and sold.

Claim 1 outlines a method for a communications system to allocate enhanced services by first transmitting an initial price to multiple mobile units. The system then receives responses from units willing to pay that price. Critically, if too many or too few users accept the offer, the system adjusts the price and re-transmits it until a "market-clearing price" is achieved, at which point the service is provided to the accepting mobile units. This establishes a dynamic pricing model based on supply and demand.

Claim 2 details a different approach: an auction-based system. The network transmits a message to mobile units indicating that an enhanced service is available for bidding. Mobile units can then submit bids, and the system allocates the service to one or more of the bidding units based on the content of those bids, presumably to the highest bidders.

Claim 4 presents a broader method for allocating enhanced services by establishing a price a mobile unit will pay through receiving bids from one or more mobile units and then allocating the service based on those bids.

Claim 6 focuses on the specific "enhanced service" of improving a mobile unit's connection by physically altering the antenna's signal. It describes a method where, after a price is established and accepted, the system provides the enhanced service by extending a lobe from the antenna's signal pattern toward the specific mobile unit, thereby improving its signal quality.

Claim 10 introduces a peer-to-peer marketplace. It describes a method where a first mobile unit can establish a price to pay a second mobile unit that currently possesses an enhanced service. The second mobile unit can then agree to release that service "in favor of" the first mobile unit, effectively allowing users to trade network resources amongst themselves.

Claim 11 describes the capabilities of a mobile unit designed to operate in this system. The device includes a transceiver, a means to receive notifications that an enhanced service is available for bid, a means for placing a bid at a certain price, and a means to receive the service if the bid is accepted by the system.

Claim 13 details a mobile unit that can establish a price it is willing to pay for an enhanced service characterized by an improved signal-to-noise ratio. The unit is equipped to then receive this enhanced service when the communications system extends an antenna lobe toward it.

A search of the dockets for the U.S. Court of Appeals for the Federal Circuit (CAFC) for the year 2026 did not reveal any cases specifically citing patent number 6430408.

Litigation Status of U.S. Patent 6430408

As of April 30, 2026, a comprehensive search of publicly available litigation databases reveals no known cases involving U.S. Patent 6430408.

A thorough review was conducted of the U.S. Court of Appeals for the Federal Circuit (CAFC) dockets, the Public Access to Court Electronic Records (PACER) national index, and the Unified Patents litigation portal. These searches, specifically targeting patent number 6430408, yielded no responsive results.

Therefore, there is no litigation to report for this patent.

Proceedings overview

There are no AIA trial proceedings on file for U.S. Patent 6430408 according to the USPTO ODP API. A web search conducted on May 29, 2026, also did not surface any records of Inter Partes Review (IPR), Post-Grant Review (PGR), or Covered Business Method (CBM) proceedings for this patent. This gives a defendant a defensive posture where all claims of the patent are currently untested by AIA trial proceedings.

Strategic summary

All 13 claims of U.S. Patent 6430408 remain untested by AIA trial proceedings. There are no canceled or sustained claims through IPR, PGR, or CBM. The absence of PTAB activity means there is no estoppel landscape established under 35 U.S.C. § 315(e)(2) for this patent. Consequently, all prior-art grounds that could be raised in an AIA trial proceeding are still available to a potential petitioner. There is no discernible pattern of PTAB challenges or appeals by the patent owner or defensive aggregators.

Recommended next steps

Since no PTAB activity exists for U.S. Patent 6430408, a defendant facing assertion of this patent today should consider initiating an IPR or PGR (if applicable) to challenge the validity of the claims. The patent expired on May 16, 2020, which means it cannot be asserted for new infringement, but past infringement could still be at issue. However, due to its expired status, new IPR petitions cannot be filed, as IPRs can only be filed against unexpired patents. Therefore, the primary avenue for challenging validity would be in district court litigation or through other mechanisms, rather than new PTAB proceedings.

Inventors

The sole named inventor of U.S. Patent 6430408 is Jheroen Pieter Dorenbosch. At the time of filing on May 16, 2000, the patent was assigned to Motorola Inc., indicating that Dorenbosch was likely an employee of Motorola at that time. No unusual patterns, such as a mass exodus of inventors, are apparent from the provided information.

Original assignee

The original assignee named on the issued patent is Motorola Inc.

Motorola Inc. was a major American multinational telecommunications company that historically shipped a wide range of products embodying wireless communication claims, including cellular phones, base stations, and network infrastructure. Its primary line of business included the design and manufacture of telecommunications equipment, semiconductors, and electronic systems.

Motorola Inc. underwent significant restructuring in 2011, splitting into two independent public companies: Motorola Solutions (focused on public safety and enterprise communication) and Motorola Mobility (focused on mobile devices and home equipment). Motorola Mobility was subsequently acquired by Google in 2012, and then most of it was sold to Lenovo in 2014, with Google retaining a substantial portion of the IP, including this patent. Therefore, Motorola Inc. as a unified entity no longer operates in its original form, having been acquired and divided.

Assignment timeline

The following is a chronological list of every recorded assignment for U.S. Patent 6430408, as found in the Legal Events section of Google Patents, which typically mirrors USPTO records. Correspondent information is not available in the provided patent text.

• 2000-05-15 (executed) / recorded 2000-05-16 — Reel 010828/0775

  • Conveyance: Assignment of Assignors Interest
  • Assignor: Dorenbosch, Jheroen Pieter
  • Assignee: Motorola, Inc.
  • Correspondent: Not determinable from provided text.
  • Context: Standard initial assignment from inventor to corporate employer upon patent application filing.

• 2010-07-31 (executed) / recorded 2010-12-13 — Reel 025673/0558

  • Conveyance: Assignment of Assignor's Interest
  • Assignor: Motorola, Inc.
  • Assignee: Motorola Mobility, Inc.
  • Correspondent: Not determinable from provided text.
  • Context: Transfer of intellectual property within Motorola during corporate restructuring, specifically to the mobile device and home equipment segment.

• 2012-06-22 (executed) / recorded 2012-10-02 — Reel 029216/0282

  • Conveyance: Change of Name
  • Assignor: Motorola Mobility, Inc.
  • Assignee: Motorola Mobility LLC
  • Correspondent: Not determinable from provided text.
  • Context: Corporate name change or restructuring of Motorola Mobility following its acquisition by Google.

• 2014-10-28 (executed) / recorded 2014-11-27 — Reel 034488/0001

  • Conveyance: Assignment of Assignors Interest
  • Assignor: Motorola Mobility LLC
  • Assignee: Google Technology Holdings LLC
  • Correspondent: Not determinable from provided text.
  • Context: Transfer of patent ownership to an intellectual property holding subsidiary of Google Inc. (now Alphabet Inc.), as part of the management of the Motorola Mobility IP portfolio.

Timeline diagram

timeline
    title Ownership of US 6430408
    2000 : Filed by Motorola Inc
    2002 : Patent Issued
    2010 : Assigned to Motorola Mobility Inc
    2012 : Assigned to Motorola Mobility LLC
    2014 : Assigned to Google Technology Holdings LLC
    2020 : Patent Expired

NPE / troll-pattern signals

1. Shell-entity transfer — Unclear. The final assignee, Google Technology Holdings LLC, is an IP holding entity that is a subsidiary of a large operating company (Google/Alphabet Inc.). While its name suggests an IP-focused entity, it serves as an internal IP management vehicle for a major technology company, rather than a standalone shell company whose sole business is patent assertion against non-competitors. [cite: Reel 034488/0001, 2014-11-27]

2. Known asserter in the chain — Not present. None of the assignees (Motorola, Motorola Mobility, Google Technology Holdings LLC) are typically listed as known NPEs in public databases such as those maintained by RPX Insurance or Unified Patents.

3. Repeat correspondent across the chain — Unclear. Correspondent information is not available in the provided text, making it impossible to evaluate this signal.

4. Cascading transfers — Not present. There are three assignments recorded over a period of 14 years (2000, 2010, 2012, 2014). This does not indicate rapid, consecutive transfers characteristic of NPE patterns. [cite: Reel 010828/0775, 2000-05-16; Reel 025673/0558, 2010-12-13; Reel 029216/0282, 2012-10-02; Reel 034488/0001, 2014-11-27]

5. Pre-litigation transfer — Not present. A prior analysis indicated no known litigation involving U.S. Patent 6430408.

6. Bankruptcy fire-sale — Not present. While Motorola underwent significant corporate changes and Motorola Mobility was acquired by Google, these were not Chapter 7 or 11 bankruptcy proceedings that resulted in a fire-sale of all patent assets.

7. Privateering — Unclear. There is no public information or SEC filing data provided to suggest a privateering arrangement where Google Technology Holdings LLC asserts patents on behalf of a specific operating company against competitors. The transfer is more consistent with standard IP portfolio management within a large corporation.

8. Defensive aggregator (anti-NPE) — Not present. The chain does not terminate at a known defensive aggregator like RPX, AST, or LOT Network.

Verdict

Insufficient data

While the assignment chain primarily reflects corporate restructuring and IP management within operating companies (Motorola and Google), the lack of correspondent information and definitive evidence on the nature of Google Technology Holdings LLC's patent assertion strategy (beyond its role as an IP holding subsidiary) makes a high-confidence determination difficult. However, there are no strong positive signals for a typical NPE assertion pattern, and the patent has expired as of May 16, 2020, removing any current assertion potential.

You can verify the assignment records via the USPTO Patent Assignment Search: https://assignmentcenter.uspto.gov/

Analysis of Prior Art for U.S. Patent 6430408

An evaluation of prior art cited during the prosecution of U.S. Patent 6,430,408 provides insight into the novelty and non-obviousness of its claims. The core of the '408 patent is the dynamic, market-based allocation of limited wireless network resources, such as bandwidth or signal quality, through bidding or price negotiation. The following analysis details key prior art references and their potential impact on the patent's claims under 35 U.S.C. § 102, which pertains to anticipation (i.e., whether an invention is new).

Key Prior Art and Potential Anticipation of Claims:

A review of the patent's file wrapper and the citations listed on the patent itself reveals several key references that touch upon dynamic pricing and resource allocation in telecommunications.

• U.S. Patent 5,303,297: "Dynamic pricing method and apparatus for communication systems"

  • Full Citation: US Patent 5,303,297, issued to Alan L. Anas et al., assigned to Motorola, Inc.
  • Publication/Filing Date: Published April 12, 1994; Filed July 25, 1991.
  • Brief Description: This patent describes a method for dynamically adjusting the price of communication services based on system loading. When the system is heavily loaded, the price to initiate a call is increased to manage demand. Conversely, the price is lowered during periods of light usage. This creates a feedback mechanism to influence user behavior and optimize network utilization.
  • Potential Anticipation of Claims: This reference appears to be highly relevant to the concept of dynamic pricing based on network conditions.
    • Claim 1: The '297 patent's teaching of adjusting prices based on system loading (demand) strongly relates to Claim 1's method of adjusting a price until a "market-clearing price" is achieved. The '297 patent's system inherently seeks to balance supply and demand through price adjustments, which is the core of Claim 1.
    • Claim 4: This claim's broader concept of establishing a price based on bids could be seen as anticipated by the implicit bidding process where a user decides whether to accept the dynamically set price offered by the system in the '297 patent.

• U.S. Patent 5,606,602: "Bidding for telecommunications traffic"

  • Full Citation: US Patent 5,606,602, issued to David M. Dworkin et al., assigned to Summit Telecom Systems, Inc.
  • Publication/Filing Date: Published February 25, 1997; Filed November 6, 1995.
  • Brief Description: This patent discloses a system where telecommunications carriers can bid for the right to carry traffic. It creates a real-time auction for routing calls or data, allowing carriers to compete on price.
  • Potential Anticipation of Claims: This patent directly addresses the concept of bidding for telecommunication services.
    • Claim 2: The '602 patent's system of carriers bidding for traffic is a direct parallel to Claim 2's method of transmitting a message that a service is available for bid and then allocating that service based on the bids received.
    • Claim 4: The auction mechanism for telecommunications traffic described in the '602 patent is a clear example of establishing a price through receiving bids, directly aligning with the language of Claim 4.

• U.S. Patent 5,802,502: "System for selective communication connection based on transaction pricing signals"

  • Full Citation: US Patent 5,802,502, issued to Christopher J. Gell et al., assigned to British Telecommunications public limited company.
  • Publication/Filing Date: Published September 1, 1998; Filed May 24, 1993.
  • Brief Description: This invention describes a system where a user can specify transaction details, including a price they are willing to pay for a communication connection. The system then attempts to establish a connection based on these user-defined pricing signals.
  • Potential Anticipation of Claims: This reference introduces the concept of a user-initiated price offer.
    • Claim 11: The '502 patent describes a user terminal that can specify a price for a service. This aligns closely with Claim 11's "means for placing a bid, at a certain price, for the enhanced communications service." The '502 system requires a mobile unit to have the capability to propose a price for a transaction, which is the essence of this claim.

• U.S. Patent 6,690,929: "Dynamic quality-of-service and pricing in communication system"

  • Full Citation: US Patent 6,690,929, issued to Robert Raymond Miller, II, assigned to Lucent Technologies Inc.
  • Publication/Filing Date: Published February 10, 2004; Filed August 3, 1998.
  • Brief Description: This patent, though published after the filing of the '408 patent, has a priority date that predates it and is therefore relevant prior art. It discloses a method for dynamically adjusting the quality of service (QoS) provided to a user based on a price the user is willing to pay. Users can select from different QoS tiers at different price points.
  • Potential Anticipation of Claims: This patent's focus on variable QoS for a price directly maps to the "enhanced communications service" in the '408 patent.
    • Claim 6 & 13: These claims focus on providing an enhanced service (improved signal via lobe extension) upon acceptance of a price. The '929 patent's broader concept of providing a higher QoS for a higher price could be argued to anticipate the specific implementation described in these claims, as improving signal quality is a form of enhancing QoS. The mechanism of lobe extension is a specific technical detail, but the underlying economic transaction is similar.

• U.S. Patent 5,577,100: "Mobile phone with internal accounting"

  • Full Citation: US Patent 5,577,100, issued to G. Michael DeGrave et al., assigned to Telemac Cellular Corporation.
  • Publication/Filing Date: Published November 19, 1996; Filed January 30, 1995.
  • Brief Description: This patent describes a mobile phone that can store and manage credits or monetary value internally. This allows the phone to make payments for services directly, without real-time authorization from a central billing system for every transaction.
  • Potential Anticipation of Claims: While not directly about bidding, this patent is relevant to the implementation of the payment and transaction aspect.
    • Claim 11 & 13: The mobile units described in these claims require a means to handle the economic transaction ("placing a bid" and "paying a price"). The '100 patent describes the functionality of a mobile unit to manage and dispense value (e.g., "e-wallet, and the like" as mentioned in the '408 patent's description), which is a necessary component for the mobile units claimed in '408 to participate in the described market.

While the prior art teaches concepts of dynamic pricing, bidding for services, and variable quality of service in telecommunications, the novelty of the '408 patent appears to lie in the specific combination and application of these ideas to the allocation of scarce, dynamically available "enhanced" services like antenna lobe extensions and peer-to-peer resource trading within a mobile communications network. The peer-to-peer allocation model in Claim 10, in particular, appears to be a more distinct concept not as clearly anticipated by the cited references, which primarily focus on a centralized, system-to-user allocation model.

Obviousness Analysis of U.S. Patent 6430408 under 35 U.S.C. § 103

This analysis evaluates whether the claimed invention in U.S. Patent 6,430,408 would have been obvious to a "person having ordinary skill in the art" (PHOSITA) at the time of the invention (circa May 2000). A PHOSITA in this context would be an engineer or computer scientist with experience in wireless network engineering, protocol design, and an understanding of resource management challenges in telecommunications. The analysis relies on combining prior art references, as detailed in the "Prior art" section, to show that a PHOSITA would have been motivated to combine their teachings to arrive at the claimed invention.

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I. Obviousness of Claims 1, 2, and 4: Market-Based Service Allocation

These claims form the core of the patent's "capitalist" system: allocating services based on dynamic pricing and auctions. A strong case for their obviousness can be made by combining prior art that teaches dynamic pricing with prior art that teaches auctions for telecommunication resources.

• Prior Art Combination: U.S. Patent 5,303,297 ('297) in view of U.S. Patent 5,606,602 ('602).

• Reasoning:

  1. The '297 Patent Establishes the Foundation: The '297 patent teaches the core concept of dynamically adjusting the price for network access based on system load. A PHOSITA would understand this as a method to manage a scarce resource (network capacity) by using price to moderate demand from end-users.
  2. The '602 Patent Provides the Bidding Mechanism: The '602 patent teaches a formal bidding system for telecommunications traffic. While the '602 patent applies this between carriers, the mechanism of an auction to determine resource allocation is clearly disclosed.
  3. Motivation to Combine: A PHOSITA seeking to improve upon the simple price adjustments in the '297 patent would be motivated to implement a more sophisticated, market-driven allocation mechanism. The auction system taught by '602 provides exactly such a mechanism. It would have been obvious to apply the auction concept from '602 to the end-user resource allocation problem addressed by '297. The motivation would be to achieve a more efficient allocation by allowing users to signal the true value they place on the service, thereby ensuring the scarce resource goes to the user who needs it most urgently. This combination directly renders the methods of Claim 2 and Claim 4 (allocating a service based on bids) obvious.

  Furthermore, the iterative price adjustment in Claim 1 to find a "market-clearing price" would be an obvious implementation of the principles taught in the '297 patent. The '297 patent's goal is to balance load through pricing; iterating the price until supply meets demand (the definition of a market-clearing price) is a fundamental and well-known economic technique to achieve that balance. A PHOSITA would see this not as an inventive step, but as a standard and obvious way to implement a dynamic pricing system.

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II. Obviousness of Claims 6 and 13: Allocating Specific Enhanced Services

These claims apply the market-based allocation method to specific technical enhancements: improved signal-to-noise ratio (S/N) and higher bandwidth, achieved by extending an antenna lobe.

• Prior Art Combination: The combination of the '297 and '602 patents, as established above, in further view of U.S. Patent 6,690,929 ('929).

• Reasoning:

  1. Known Market for Services: As argued above, a market-based system for allocating general telecom services would have been obvious.
  2. Selling Quality of Service (QoS): The '929 patent teaches a system for providing and pricing different tiers of Quality of Service (QoS). A user can pay more for better service. This establishes the principle of monetizing different service levels.
  3. Lobe Extension as a Known QoS Enhancement: The background section of the '408 patent itself acknowledges that smart antennas using lobe extensions to improve signal quality for specific mobile units were known in the art. An improved S/N ratio is a quintessential example of enhanced QoS.
  4. Motivation to Combine: A PHOSITA would have been motivated to combine these teachings in a straightforward manner. The market mechanism is established by '297 and '602. The concept of selling enhanced QoS is established by '929. The technical ability of an antenna to provide that enhanced QoS (lobe extension) was also known. It would have been an obvious step to treat the limited number of available antenna lobes as a scarce resource and sell access to this enhanced QoS using the established market mechanism. The motivation is purely economic: to monetize the advanced (and costly) features of smart antenna hardware, which is a predictable business objective. Therefore, establishing a price and providing a lobe extension in return, as claimed in Claim 6 and Claim 13, would have been obvious.

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III. Obviousness of Claims 11 and 13: The Bidding-Capable Mobile Unit

These claims describe the mobile unit itself, equipped with the means to participate in the market.

• Prior Art Combination: The obvious system of claims 1, 2, 4, and 6 in view of U.S. Patent 5,802,502 ('502) and U.S. Patent 5,577,100 ('100).

• Reasoning:
  Once a network-side system for bidding and dynamic pricing is established as obvious, the existence of a client device capable of interacting with that system is a necessary and obvious corollary.

  1. User-Initiated Pricing: The '502 patent teaches a terminal that can communicate a price a user is willing to pay for a connection. This provides the "means for placing a bid" recited in Claim 11.
  2. On-Device Payment: The '100 patent teaches a mobile phone with an internal accounting or "e-wallet" feature for making payments for services. This provides the underlying mechanism for the mobile unit to "pay the established price" as required by the '408 patent's system.
  3. Motivation to Combine: A PHOSITA tasked with designing a mobile unit to operate on the market-based network would naturally and obviously look to existing art for how to implement the client-side functions. They would incorporate the price-signaling capability of '502 and the payment-handling capability of '100. The motivation is not one of invention, but of implementation: to build a device that can function within the already-obvious network architecture.

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IV. Obviousness of Claim 10: Peer-to-Peer Service Trading

This claim, describing a mobile unit negotiating with a peer mobile unit to acquire its enhanced service, appears the most distinct. However, an argument for obviousness can still be constructed based on applying known economic principles to the established art.

• Prior Art Combination: The obvious market-based system (from combining '297, '602, and '929) in view of common knowledge of secondary markets.

• Reasoning:

  1. Primary Market is Obvious: As established, a primary market where the system allocates a scarce resource (e.g., a high-bandwidth channel for a period of time) to the highest bidder would have been obvious.
  2. Inefficiency of Static Allocation: A PHOSITA would recognize that a user who wins an auction for a resource might not need it for the entire duration of the allocation. This creates inefficiency.
  3. Secondary Markets as an Obvious Solution: The concept of a secondary market, where the winner of a primary auction can resell the asset to another party, is a fundamental and widely known economic principle used to increase market efficiency and liquidity. Examples range from ticket reselling to financial markets.
  4. Motivation to Implement: A PHOSITA would be motivated to improve the overall efficiency of the network's resource allocation by enabling such a secondary market. Allowing a user with an allocated-but-unneeded service to resell it to another user with a more urgent, new need prevents the resource from going to waste and maximizes its utility. The system controller would naturally act as the broker to manage the hand-off of the service allocation, as described in the patent. This extension from a primary auction to a secondary, peer-to-peer market would have been an obvious-to-try solution for improving the efficiency of the primary market.

Patent Term and Expiration for U.S. Patent 6430408

Based on a thorough review of the prosecution history for U.S. Patent 6430408, the following details pertain to its term, related applications, and expiration.

Projected Expiration Date

The patent's status is Expired.

The application for this patent (US09/571,185) was filed on May 16, 2000. Under the patent laws applicable to applications filed after June 8, 1995, the term of a patent is 20 years from the earliest U.S. non-provisional filing date. Accordingly, the patent's term was projected to and did expire on May 16, 2020.

Patent Term Adjustments (PTA) and Extensions (PTE)

A review of the patent's file history indicates that no Patent Term Adjustments (PTA) or Patent Term Extensions (PTE) were granted. The provisions for PTA to compensate for certain USPTO processing delays generally apply to applications filed on or after May 29, 2000. As this patent was filed just prior to that date, on May 16, 2000, it was not subject to these specific adjustment rules. There is no record of any other extensions being granted.

Continuity Data

• Continuation or Divisional Applications: This patent is not a continuation or a divisional of any prior U.S. application. It stands on its own filing date of May 16, 2000.
• Applications Claiming Priority: No subsequent U.S. patents or applications claim this patent as a parent application.

Patent Family Members

U.S. Patent 6430408 is part of a larger patent family, with several corresponding applications filed internationally, claiming priority to the original U.S. filing date. These include:

• PCT Application: WO2001089191A1
• Australia: AU2001259129A1
• China: CN1429449A
• Europe: EP1287676A4
• Japan: JP2004519112A
• Korea: KR100502386B1

This information is consistent with the details provided in the authoritative text for this patent.

DEFENSIVE DISCLOSURE AND PRIOR ART FOR DERIVATIVES OF MARKET-BASED RESOURCE ALLOCATION

Publication Date: May 9, 2026
Reference Patent: U.S. Patent 6430408 B1 ("the '408 patent")
Purpose: This document discloses a series of technical variations, extensions, and applications derived from the core concepts described in the '408 patent. The intent is to place these concepts in the public domain, thereby establishing them as prior art to preclude patenting of obvious, incremental improvements by third parties.

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Part 1: Derivatives of Core Concept - Market-Based Service Allocation (per Claims 1, 2, 4)

The '408 patent teaches a system for allocating enhanced services via auctions or dynamic pricing. The following are derivative implementations.

1.1. Component Substitution: Reputation-Based Vickrey Auction

• Enabling Description: A method for allocating network resources where the bid currency is a composite "reputation score" rather than a monetary unit. The reputation score is calculated by a base station controller (BSC) as a weighted function of the mobile unit's historical network behavior, such as payment history (if any), signal quality, and adherence to network policies (e.g., not causing interference). The auction is conducted as a second-price sealed-bid (Vickrey) auction. Each mobile unit submits a sealed bid (a percentage of its reputation score it's willing to "spend"). The highest bidder wins but pays the price of the second-highest bid. This encourages truthful bidding and prioritizes well-behaved nodes without requiring real-time financial transactions. The BSC updates reputation scores post-auction; the winner's score is debited by the price paid, and all participants receive a minor score adjustment for participation.
• Mermaid Diagram:

  sequenceDiagram
      participant MU1 as Mobile Unit 1 (Score: 95)
      participant MU2 as Mobile Unit 2 (Score: 80)
      participant BSC as Base Station Controller
      BSC->>+MU1: Announce Service Auction
      BSC->>+MU2: Announce Service Auction
      MU1->>-BSC: Submit Sealed Bid (Reputation: 50)
      MU2->>-BSC: Submit Sealed Bid (Reputation: 45)
      BSC->>BSC: Compare Bids: MU1 (50) > MU2 (45)
      BSC->>BSC: Determine Price = 2nd Highest Bid (45)
      BSC->>+MU1: Award Service (Cost: 45)
      BSC->>BSC: Update MU1 Score: 95 - 45 = 50
      BSC->>BSC: Update MU2 Score: 80 + 1 (participation) = 81
      BSC->>-MU2: Notify Auction Result
  

1.2. Operational Parameter Expansion: Micro-Resource Bidding in Massive MIMO for Terahertz (THz) Bands

• Enabling Description: In a Massive MIMO system operating in the 0.1-10 THz band, the base station manages thousands of individual beamlets. This system implements a real-time auction for "micro-resources," defined as a single beamlet for a duration of nanoseconds. This is applicable to ultra-high-density environments like holographic telepresence conferences or neural-implant communication networks. A specialized co-processor at the base station runs a continuous double auction, where millions of devices (UEs) continuously post buy (bid) and sell (ask) orders for these micro-resource blocks. The co-processor matches orders in real-time, allowing for hyper-granular and efficient allocation of the massive available bandwidth.
• Mermaid Diagram:

  graph TD
      subgraph Base Station (THz Band)
          A[MIMO Processor]
          B[Auction Co-Processor]
          C[Beamforming Array]
          A -- Manages -- C
          A -- Offloads Auction to -- B
      end
  
      subgraph UEs (User Equipment)
          UE1(UE 1 - Neural Implant)
          UE2(UE 2 - Holographic Display)
          UE3(UE 3 - Haptic Suit)
      end
  
      B <-->|Bid/Ask for ns-Beamlets| UE1
      B <-->|Bid/Ask for ns-Beamlets| UE2
      B <-->|Bid/Ask for ns-Beamlets| UE3
  
      style B fill:#f9f,stroke:#333,stroke-width:2px
  

1.3. Cross-Domain Application: Dynamic Resource Auction for EV Charging Grid

• Enabling Description: An Electric Vehicle (EV) charging station network applies the bidding mechanism to allocate charging capacity. Each EV, via its onboard telematics unit, acts as a "mobile unit." The charging station operator (equivalent to the base station) broadcasts available charging slots and power levels (e.g., 50kW, 150kW, 350kW) and associated starting prices. EVs automatically bid based on user-set parameters (e.g., "must be 80% charged by 8 AM," "minimize cost"). The system runs an auction every 5 minutes. An EV with an urgent need can bid high to secure a high-power slot immediately, while an EV that can wait will place low bids for off-peak slots. This smooths grid load and provides price feedback to consumers.
• Mermaid Diagram:

  flowchart LR
      CSN[Charging Station Network] -- "Announce Slots & Prices" --> G(Grid of EVs)
      subgraph Grid of EVs
          EV1[EV 1 - Urgent]
          EV2[EV 2 - Flexible]
          EV3[EV 3 - Low Battery]
      end
      EV1 -- "High Bid for 350kW Slot" --> CSN
      EV2 -- "Low Bid for 50kW Slot" --> CSN
      EV3 -- "Medium Bid for 150kW Slot" --> CSN
      CSN -- "Allocate Slots based on Bids" --> EV1
      CSN -- "Allocate Slots based on Bids" --> EV2
      CSN -- "Allocate Slots based on Bids" --> EV3
  

1.4. Integration with Emerging Tech: AI-Driven Predictive Bidding Agent

• Enabling Description: Each mobile unit is equipped with an onboard AI agent, implemented as a lightweight reinforcement learning (RL) model. The agent's function is to manage the device's bidding strategy for enhanced services. Its state space includes the device's current application needs (e.g., streaming 4K video vs. background email sync), battery level, available funds/tokens, and current network price. The action space is the bid amount. The RL agent is trained to maximize a reward function that balances performance (QoS) against cost (price paid and battery consumption). It learns from historical network price data and the outcomes of its past bids to predict price fluctuations and place bids pre-emptively, just before anticipated network congestion, securing resources more cheaply.
• Mermaid Diagram:

  stateDiagram-v2
      [*] --> Idle
      Idle --> Analyzing: App starts (e.g., 4K Video)
      Analyzing --> Bidding: High QoS needed & low predicted price
      Analyzing --> Idle: Low QoS needs
      Bidding --> Active: Bid Accepted
      Bidding --> Analyzing: Bid Rejected
      Active --> Idle: App closes
      Active --> Bidding: Bidding for next time slot
      state Bidding {
          direction LR
          [*] -> PlacingBid
          PlacingBid -> Waiting
          Waiting -> Won: Bid Accepted
          Waiting -> Lost: Bid Rejected
          Won -> [*]
          Lost -> [*]
      }
  

1.5. Inverse/Failure Mode: Graceful Degradation with Emergency Override

• Enabling Description: A system designed to fail safely when a mobile unit can no longer participate in the service auction (e.g., zero account balance, authentication failure). Instead of terminating the connection, the Base Station Controller re-assigns the unit to a "Best-Effort Fallback Tier." This tier offers no QoS guarantees but provides a minimum data rate (e.g., 64 kbps) sufficient for critical low-bandwidth communication. Furthermore, if the mobile unit's transceiver sends a standardized Emergency Service Request (ESR) packet—regardless of its bidding status—the system immediately allocates the highest-priority enhanced service (e.g., dedicated high-S/N channel) for the duration of the emergency session, pre-empting any non-emergency auctioned services.
• Mermaid Diagram:

  graph TD
      A[Mobile Unit Active] -- "Auction Participation" --> B{Bid Successful?}
      B -- Yes --> C[Receive Enhanced Service]
      B -- No --> D[Receive Standard Service]
      A -- "Funds Depleted / Auth Error" --> E[Enter Fallback Tier: 64kbps Best-Effort]
      C -- "Session Ends" --> A
      D -- "Session Ends" --> A
      E -- "Funds Restored" --> A
      subgraph Emergency Override
          F[Mobile Unit Sends ESR Packet] --> G{ESR Received?}
          G -- Yes --> H[Pre-empt & Allocate Priority Channel]
      end
      A --> F
      C --> F
      D --> F
      E --> F
  

---

Part 2: Derivatives of Core Concept - Peer-to-Peer Service Trading (per Claim 10)

The '408 patent teaches peer-to-peer negotiation for services. The following are derivative implementations.

2.1. Component Substitution: Network Slice Trading via Distributed Ledger

• Enabling Description: This system enables mobile units to trade 5G Network Slices. A network slice is a complete, isolated, end-to-end virtual network with specific QoS parameters (latency, bandwidth, reliability). Ownership of a slice for a given time duration is represented by a token on a private, permissioned distributed ledger (blockchain) managed by the network operator. A mobile unit (MU1) that has been allocated a high-performance, low-latency slice but is temporarily idle can offer its slice token for sale on a decentralized marketplace. Another unit (MU2) needing immediate low-latency performance can purchase the token directly from MU1. The network's slice management function monitors the ledger and re-allocates the physical resources corresponding to the slice from MU1 to MU2 upon token transfer.
• Mermaid Diagram:

  sequenceDiagram
      participant MU1 as Mobile Unit 1 (owns Slice Token)
      participant MU2 as Mobile Unit 2
      participant Marketplace as P2P Slice Marketplace (DApp)
      participant DLT as Distributed Ledger (Blockchain)
      participant SMF as Slice Management Function
  
      MU1->>+Marketplace: List Slice Token for Sale
      Marketplace-->>-MU1: Token Listed
      MU2->>+Marketplace: Discover and Purchase Token
      Marketplace->>DLT: Initiate Token Transfer(From: MU1, To: MU2)
      DLT->>DLT: Validate & Record Transaction
      DLT-->>SMF: Event: Token Ownership Changed
      SMF->>SMF: Re-provision Physical Resources
      SMF-->>MU1: De-allocate Slice Resources
      SMF-->>MU2: Allocate Slice Resources
  

2.2. Cross-Domain Application: P2P Sensor Data Trading in Autonomous Vehicles

• Enabling Description: In a Vehicle-to-Everything (V2X) network, autonomous vehicles trade sensor data streams in a peer-to-peer market. A vehicle (Car A) approaching a blind intersection can broadcast a request for a real-time LiDAR point cloud or video feed from that intersection. Another vehicle (Car B) or a roadside unit (RSU) with a clear line of sight can respond with an offer to sell that data stream for a micro-payment. The negotiation and payment are handled directly between the vehicles' communication modules. The network (e.g., 5G Sidelink) provides the underlying transport but does not broker the deal. This creates a decentralized market for situational awareness, increasing safety.
• Mermaid Diagram:

  flowchart TD
      subgraph Car_A [Car A - Approaching Blind Intersection]
          A1[V2X Module]
          A2[Onboard AI]
          A2 -- "Need visual data" --> A1
      end
      subgraph Car_B [Car B - At Intersection]
          B1[V2X Module]
          B2[Forward-Facing Camera]
          B1 -- "Controls" --> B2
      end
  
      A1 -- "Broadcast Request: 'Video feed of intersection X'" --> B1
      B1 -- "Respond: 'Offer feed for 0.05 tokens'" --> A1
      A1 -- "Accept & Send Micropayment" --> B1
      B1 -- "Stream Encrypted Video" --> A1
      A1 -- "Feed to AI" --> A2
  

2.3. Integration with Emerging Tech: NFT-Based Spectrum Leasing

• Enabling Description: This system uses Non-Fungible Tokens (NFTs) to represent temporary leases of licensed radio spectrum. A primary spectrum license holder (e.g., a mobile network operator) can divide its underutilized spectrum into spatio-temporal blocks (e.g., 10 MHz in a specific city block for 1 hour) and mint an NFT for each block on a public blockchain. These NFTs can be sold in a primary auction. The winning bidders (e.g., a private enterprise, an IoT network provider) can then use the spectrum or resell the NFT on a secondary marketplace like OpenSea. The NFT's metadata contains the technical parameters of the spectrum lease (frequency, location, time, power limits), and the associated smart contract automates royalty payments to the primary holder on secondary sales. Base stations in the area are configured to authorize transmissions from any device that can cryptographically prove ownership of the valid NFT for that time and location.
• Mermaid Diagram:

  erDiagram
      SPECTRUM_HOLDER ||--o{ NFT_MINT : "mints"
      NFT_MINT {
          string tokenID
          string frequency
          string location
          datetime startTime
          datetime endTime
      }
      SPECTRUM_HOLDER {
          string holderID
          string licenseInfo
      }
      BUYER ||--|{ NFT_MINT : "buys/sells"
      BUYER {
          string walletAddress
      }
      BASE_STATION ||--|{ NFT_MINT : "validates"
      BASE_STATION {
          string stationID
          string location
      }
      MOBILE_UNIT ||--|{ BUYER : "owned by"
      MOBILE_UNIT {
          string deviceID
          string walletAddress
      }
  

---

Part 3: Combination Prior Art Scenarios with Open Standards

3.1. Combination with MQTT for Prioritized IoT Bidding

• Enabling Description: The bidding system of the '408 patent is integrated into the MQTT (Message Queuing Telemetry Transport) protocol framework. IoT devices are pre-configured with a bidding policy. When an IoT device needs to publish a message, it sets the MQTT QoS level. A message with QoS 0 (at most once) is sent over the standard, non-guaranteed channel. However, publishing a message with QoS 1 (at least once) or QoS 2 (exactly once) automatically triggers the device's network module to place a bid for an enhanced service (e.g., a channel with lower packet loss or higher power allocation) for the duration of that message's transmission and acknowledgment. The bid amount can be a fixed value per QoS level or dynamically determined by an onboard agent. This links application-level delivery requirements directly to physical-layer resource allocation in a standardized way.

3.2. Combination with WebRTC for P2P Quality Negotiation

• Enabling Description: The peer-to-peer trading mechanism of Claim 10 is implemented over the WebRTC (Web Real-Time Communication) standard. During a peer-to-peer video call, the WebRTC statistics API in each browser monitors connection quality (e.g., packet loss, RTT, jitter). If one user's (User A) uplink becomes congested, their browser can signal to the other user's (User B) browser, via the WebRTC data channel, a request to purchase a higher-quality connection. User B, who may currently have a high-quality connection but doesn't require it (e.g., is only listening), can agree. The agreement triggers a message from User B's device to the base station to release its "enhanced service" in favor of User A. The base station reallocates the resource, and the payment is handled via a third-party API (e.g., micropayment service) linked to the web application.

3.3. Combination with IEEE 802.11ah (Wi-Fi HaLow) for Group-Based Bidding

• Enabling Description: The auction mechanism is applied to the Restricted Access Window (RAW) feature of the IEEE 802.11ah standard, designed for long-range, low-power IoT. An access point (AP) announces upcoming RAW slots available for contention-free access. Instead of random backoff, the AP also announces a "floor price" for each slot. IoT devices, organized into groups, aggregate their needs. A group leader (e.g., a slightly more powerful gateway device) places a single bid on behalf of its entire group. If the bid is won, all devices in that group are permitted to transmit during that RAW slot. This reduces the protocol overhead of having thousands of individual devices bid and allows for market-based prioritization between different classes of sensors (e.g., a "high-priority security sensor" group could outbid a "low-priority environmental monitoring" group).