Wireless Resource Allocation via Geographic Clustering
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Solution Overview
Problem
Wireless communication systems face challenges in efficiently allocating limited transmission resources to secondary systems without interfering with primary systems, especially in scenarios where frequency spectrum utilization is not fully optimized.
Innovation Solution
A method and apparatus that estimate the geographic distribution density of secondary systems, cluster them uniformly, and manage transmission resources by determining available resources within each cluster, considering interference levels and channel models to optimize resource allocation and utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transmission resources are allocated to secondary systems to meet increasing user demands for high-speed communications, then service quality and communication speed improve, but interference with primary systems increases
Solution Approach 1:
The patent applies local quality by estimating geographic distribution density of secondary systems and creating cluster-specific resource allocations. Different geographic clusters receive customized resource assignments based on their local interference characteristics and primary system usage patterns, allowing high resource utilization in low-interference areas while protecting primary systems in sensitive areas.
Solution Approach 2:
The patent segments the service area into multiple geographic clusters of secondary systems. Each cluster is evaluated independently for resource allocation, allowing the system to optimize resource distribution at a granular level rather than applying uniform allocation across all secondary systems, thereby reducing overall interference while maintaining productivity.
2Quantity of substance
If frequency spectrum resources are dynamically shared between primary and secondary systems to optimize utilization, then resource efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling secondary systems to autonomously estimate their own geographic distribution density and perform self-organization into clusters. Each secondary system independently determines its resource allocation based on pre-established criteria, eliminating the need for complex centralized coordination while optimizing resource utilization across the entire network.
Solution Approach 2:
The patent applies preliminary action by pre-defining cluster formation criteria and resource allocation rules before secondary systems begin operation. This advance preparation allows systems to automatically organize and allocate resources without real-time complex calculations, reducing system complexity while maintaining efficient resource utilization.
3Measurement precision
If geographic distribution density estimation and clustering is performed to optimize resource allocation, then resource assignment accuracy improves, but processing time increases
Solution Approach 1:
The patent applies partial action by performing geographic distribution estimation and clustering only on necessary parameters at appropriate granularities. Rather than continuously analyzing all secondary system characteristics, the system estimates key density metrics and forms clusters based on essential geographic criteria, achieving sufficient allocation accuracy without excessive processing overhead.
Data Source
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AI summary
A system that identifies a number of secondary systems located in a first geographical area; identifies a primary resource available to be assigned to the secondary systems; determines whether the number of secondary systems located in the first geographical area exceeds a predetermined threshold value; and limits a number of secondary systems to which the primary resource is assigned when it is determined that the number of secondary systems located in the first geographical area exceeds the predetermined threshold value, and assign the resource to the secondary systems when the number of secondary systems falls below the predetermined threshold.