Dynamic Clustering for Radio Coordination in Virtual Networks
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Solution Overview
Problem
Conventional radio resource management techniques face challenges in efficiently managing co-channel interference in wireless communication networks, particularly in large networks where optimizing all transmit points is complex and may not be necessary for ensuring acceptable performance, especially during network congestion at isolated points.
Innovation Solution
An adaptive method for defining clusters of transmit points based on dominant interference relationships, using a circuit or processor to receive radio frequency channel information and construct an undirected graph representing these relationships, allowing for dynamic clustering and coordinated radio coordination to mitigate interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If network-wide optimization is implemented to reduce co-channel interference, then interference reduction performance is improved, but system complexity increases to an unacceptable level
Solution Approach 1:
The patent divides the network into multiple transmit point clusters, where each cluster is optimized independently rather than optimizing the entire network at once. This segmentation reduces the complexity of the optimization problem while still achieving effective interference reduction within each cluster.
Solution Approach 2:
The patent applies optimization only to specific clusters of transmit points that require coordination, rather than applying network-wide optimization. This partial action approach reduces complexity while maintaining acceptable performance by focusing computational resources only where needed.
2Device complexity
If fixed groupings of transmit points are used for coordination, then coordination overhead is reduced, but adaptability to network changes deteriorates
Solution Approach 1:
The patent implements dynamic clustering where transmit points are grouped into clusters based on current network conditions and interference relationships. These clusters can be formed, modified, or dissolved as network conditions change, providing adaptability without requiring full network-wide re-optimization.
Solution Approach 2:
The system automatically forms and manages transmit point clusters based on measured interference relationships, without requiring manual configuration or fixed groupings. The clusters self-organize according to dominant interference relationships, adapting to network changes autonomously.
Data Source
AI summary
An apparatus for adaptively defining clusters transmit points for coordination in a communication network includes a circuit that receives radio frequency channel information corresponding to the transmit points and defines a subset of the transmit points based at least in part on the radio frequency communication channel information. The subset is interrelated by a contiguous chain of dominant interference relationships between pairs of the transmit points. The apparatus further includes a processor that independently coordinates radio communications among the subset of transmit points.


