Multi-Antenna Network Matrix Inversion Complexity Reduction
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Solution Overview
Problem
The operational complexity of precoding in multi-antenna network systems, particularly in 5G Ultra-Dense Networks, is high due to the need for frequent inverse matrix calculations, which limits the scalability of small-cell base stations and their ability to serve more users without degrading network performance.
Innovation Solution
A method that calculates a second-time-duration channel reverse matrix by deriving differences between first-time-duration and second-time-duration estimated channel values, reducing operational complexity by using these differences and the initial reverse matrix, thereby adjusting signals transmitted through servo antennas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If precoding operation with inverse matrix is performed for each subcarrier, then signal transmission quality is improved, but operational complexity increases to O(n^3)
Solution Approach 1:
The patent performs precoding operations in advance for a group of contiguous subcarriers rather than individually for each subcarrier. A single inverse matrix calculation is performed for the entire group, and the same precoding weights are applied to all subcarriers in the group, thereby reducing repeated calculations while maintaining signal quality.
Solution Approach 2:
The patent combines multiple adjacent subcarriers into a single processing group for precoding operations. By merging the processing of multiple subcarriers into one unified inverse matrix calculation, the computational complexity is reduced from O(n^3) per subcarrier to O(n^3) for the entire group, significantly lowering overall operational complexity.
2Quantity of substance
If the number of collaborative base stations is increased, then network coverage and user service capacity are improved, but coordination complexity and interference management difficulty increase
Solution Approach 1:
The patent divides the network into multiple small-cell base stations that can independently perform precoding operations using locally available channel state information. This segmentation allows each base station to operate semi-autonomously, reducing the overall coordination complexity while enabling scalable network expansion.
Data Source
AI summary
A multi-antenna network system has a reduced operational complexity for matrix inversion by referring to the variations of the status of a plurality of communication channels at a first time duration and a second time duration. Therefore, the speed for calculating matrix inversion is improved. Accordingly, the amount of servo antennas and/or user antennas operating in the same multi-antenna network system can be increased.