Wireless Cluster Feedback Aggregation for Base Station Complexity Reduction
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Solution Overview
Problem
The existing cellular network resource management methods face increased complexity due to the need for extensive feedback information transmission from terminals to base stations, especially with the use of techniques like orthogonal frequency division multiple access (OFDMA), which requires efficient methods to reduce calculation complexity and feedback amount.
Innovation Solution
The method aggregates terminals in close proximity into clusters, with a cluster head determining channel gain and location information to be fed back to the base station, using near field communication to select a representative terminal and reduce feedback, thereby simplifying resource management and power control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If terminals transmit detailed channel gain information for each subchannel to the base station, then the base station can achieve accurate resource allocation, but the feedback amount and calculation complexity increase significantly
Solution Approach 1:
The patent merges channel gain information from multiple terminals into cluster-level feedback. Terminals are grouped into clusters based on channel similarity, and each cluster head aggregates channel gain measurements from its cluster members, transmitting only consolidated feedback to the base station. This combining approach maintains resource allocation accuracy while reducing overall feedback burden and base station computation complexity.
Solution Approach 2:
The patent segments the set of terminals into multiple clusters based on channel gain similarity and terminal proximity. Each cluster is independently managed with a designated cluster head that collects and aggregates feedback from its members. This segmentation divides the large-scale feedback problem into smaller, manageable cluster-level problems, reducing the total feedback amount and base station calculation complexity.
2Loss of information
If all terminals transmit feedback information individually, then the base station receives complete channel information, but the feedback overhead and terminal power consumption increase
Solution Approach 1:
The patent combines feedback transmissions by having cluster heads aggregate channel gain information from multiple terminals and transmit consolidated feedback to the base station. This merging eliminates redundant feedback transmissions from individual terminals, reducing power consumption while maintaining complete channel information through the aggregated cluster feedback.
Solution Approach 2:
The patent implements self-service by having terminals autonomously determine their cluster membership and identify cluster heads based on channel gain similarity and proximity metrics. Terminals self-organize into clusters without base station intervention, with each terminal contributing to cluster formation and feedback aggregation, thereby reducing overall system overhead and power consumption.
3Productivity
If the base station manages resources for each terminal individually, then precise resource allocation is achieved, but the system complexity and signaling overhead increase
Solution Approach 1:
The patent segments terminal management into cluster-level management, where the base station manages resources for each cluster head representing multiple terminals. This segmentation reduces the number of individual terminal management operations at the base station while maintaining resource allocation efficiency through cluster-level scheduling and resource assignment.
Solution Approach 2:
The patent introduces cluster heads as intermediaries between individual terminals and the base station. Cluster heads collect channel feedback from their cluster members, perform local processing and aggregation, and present consolidated information to the base station for resource allocation decisions. This intermediary layer simplifies base station management complexity while preserving resource allocation efficiency.
Data Source
AI summary
The present invention relates to a method for a base station to manage resources in order to perform beamforming in a wireless access system, the method being characterized by comprising the steps of: receiving cluster information from a cluster head; and determining, on the basis of the received cluster information, terminals to be scheduled in a cluster including the cluster head, wherein the cluster information comprises location and channel gain information for the terminals belonging to the cluster including the cluster head.