Dynamic Spectrum Allocation Game for Fair 6 GHz Sharing
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Solution Overview
Problem
Current static spectrum allocation methods fail to adapt to real-time changes in network usage, leading to suboptimal spectrum utilization, increased interference, and unfair access in the 6 GHz band.
Innovation Solution
A game framework for dynamic spectrum allocation using a hybrid cloud-based and on-premises spectrum management controller (SMC) that employs game theory to optimize spectrum use among Wi-Fi and cellular networks, incorporating real-time data analytics, predictive models, and incentive mechanisms to encourage cooperation and efficient resource sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static spectrum allocation methods are used, then the allocation process is simple and stable, but spectrum utilization is suboptimal and cannot adapt to real-time changes
Solution Approach 1:
The patent implements dynamic spectrum allocation by replacing static allocation methods with a game-theoretic framework that continuously adapts to real-time network conditions. The system dynamically adjusts spectrum assignments based on current demand, interference levels, and network performance metrics, enabling the spectrum management controller to respond flexibly to changing conditions while optimizing utilization.
Solution Approach 2:
The system incorporates feedback mechanisms where network controllers report real-time status information to the spectrum management controller, which then uses this feedback to adjust allocations. The game-theoretic framework continuously monitors network conditions and modifies spectrum assignments based on observed performance, creating a closed-loop system that learns from past allocations and improves over time.
2Productivity
If dynamic spectrum management systems like AFC are implemented, then spectrum can be managed more flexibly, but efficient spectrum use is not adequately encouraged
Solution Approach 1:
The patent changes the allocation parameters from fixed, static assignments to dynamic, game-theoretic optimizations. The system adjusts allocation decisions based on real-time network conditions, demand patterns, and interference levels, transforming the allocation process into a flexible parameter optimization problem that maximizes spectrum efficiency while adapting to changing conditions.
Solution Approach 2:
The game-theoretic framework enables network controllers to autonomously participate in spectrum allocation decisions by submitting bids or proposals based on their own needs and capabilities. The system allows networks to self-advocate for spectrum resources while the overall optimization is performed through distributed game-theoretic algorithms, reducing the need for centralized micromanagement.
3Reliability
If traditional spectrum allocation methods are used, then the system is simple to operate, but interference increases and access becomes unfair
Solution Approach 1:
The patent segments the spectrum management function into multiple independent network controllers that operate autonomously but coordinate through the game-theoretic framework. Each network controller manages its own spectrum requests and reports status independently, while the overall fairness and optimization are achieved through the coordinated game-theoretic allocation process, dividing the complex management task into manageable segments.
Data Source
AI summary
Techniques described herein can apply a game framework for dynamic spectrum allocation. A local spectrum management controller (SMC) associated with a geographic area can receive multiple spectrum requests from multiple network controllers in the geographic area. The SMC can allocate spectrum resources among the multiple network controllers by assigning a respective value to each respective spectrum request, wherein the respective value is adjusted based on a respective historic spectrum use efficiency of a respective network controller. The multiple spectrum requests can then be processed according to a spectrum allocation game which uses respective values to determine multiple spectrum allocations to the multiple network controllers.