Cell Cluster Resource Allocation for Interference-Aware Throughput
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Solution Overview
Problem
Existing Massive MIMO methods for intelligent space-divided cell clusters face interference issues among divided cells, leading to reduced link spectral efficiency and sub-optimal throughput in frequency-domain resource allocation.
Innovation Solution
A resource allocation method that determines user combinations within each cell, classifies them as non-collision or collision combinations, and allocates resource blocks based on available resources and estimated requirements to minimize interference and maximize throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If space division multiplexing is adopted in intelligent space-divided cell cluster, then spectral efficiency is improved, but interference among divided cells increases
Solution Approach 1:
The patent segments the cell cluster into multiple divided cells (first divided cell, second divided cell, etc.) that can independently schedule users. By classifying user combinations into non-collision combinations (different divided cells) and collision combinations (same divided cell), the system achieves space division multiplexing while managing interference through selective resource allocation.
2Productivity
If resource blocks are allocated to maximize throughput, then system capacity is improved, but resource allocation complexity increases
Solution Approach 1:
The patent performs preliminary classification of user combinations into non-collision and collision categories before resource block allocation. The network device determines user combinations for each divided cell, identifies which combinations will collide, and then allocates resource blocks accordingly. This preliminary classification simplifies the subsequent resource allocation process while maximizing throughput.
Solution Approach 2:
The patent changes the allocation parameter from individual user basis to user combination basis. By considering multiple users together in combination units and allocating resource blocks at the combination level rather than individual user level, the system reduces allocation complexity while maintaining or improving overall throughput efficiency.
Data Source
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AI summary
Provided are a resource allocation method, apparatus and device for an intelligent space-divided cell cluster, and a computer-readable storage medium. The method comprises: with regard to each divided cell under a space-divided cell cluster, determining users belonging to various cell combinations of the divided cell; according to the estimated number of demanded resource blocks of the users in each of the cell combinations of each divided cell, acquiring the total estimated number of demanded resource blocks of the space-divided cell cluster; and according to the number of available resource blocks of each divided cell, and the total estimated number of demanded resource blocks of the space-divided cell cluster, allocating resource blocks to the users in each of the cell combinations of the divided cells under the space-divided cell cluster.