Iterative Precoding Matrix Determination for MIMO Systems
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Solution Overview
Problem
Existing MIMO systems face poor performance due to incomplete utilization of channel spatial features in precoding matrix calculations, leading to suboptimal throughput and system efficiency.
Innovation Solution
A method and apparatus for determining a precoding matrix that iteratively calculates an optimal precoding matrix for each transmitting end based on its channel matrix, autocorrelation matrix of interference and noise, and rank constraint, maximizing channel capacity while keeping other transmitting ends' precoding matrices unchanged.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If manual rank reduction is performed on the channel matrix to reduce mutual interference, then interference between different links is reduced, but the spatial feature of the channel matrix cannot be fully utilized, resulting in poor system performance
Solution Approach 1:
The patent changes the parameter representation from manual rank reduction to using the actual rank of the channel matrix, and modifies the precoding matrix calculation to use the autocorrelation matrix of the channel. This allows full utilization of channel spatial features while maintaining interference reduction, resolving the contradiction between reducing interference and improving system performance
Solution Approach 2:
The patent replaces the manual rank reduction mechanism with an autocorrelation-based precoding calculation mechanism. Instead of artificially reducing the rank of the channel matrix, the system uses the autocorrelation matrix to capture spatial features and compute the precoding matrix, thereby eliminating the performance degradation caused by manual rank reduction
2Productivity
If the precoding matrix is calculated to maximize channel capacity of one link, then the channel capacity of that link is improved, but the precoding matrices of other transmitting ends remain unchanged, potentially causing suboptimal overall system performance
Solution Approach 1:
The patent segments the precoding optimization process by allowing each transmitting end to independently calculate its precoding matrix based on its own channel conditions and autocorrelation matrix, while considering the precoding matrices of other transmitting ends. This segmented approach enables each link to maximize its channel capacity while contributing to overall system performance through coordinated operation
Data Source
AI summary
Embodiments of the present disclosure disclose a method and an apparatus for determining a precoding matrix, which relate to the field of communications technologies and may improve throughput of a MIMO system and optimize overall system performance, including: determining a rank constraint of a jth transmitting end, where j=1, 2, . . . , K, and K is the total number of transmitting ends in a MIMO system; iteratively calculating an optimal precoding matrix of the jth transmitting end according to a channel matrix from the jth transmitting end to a jth receiving end, an autocorrelation matrix of interference and noise of the jth receiving end, and the rank constraint of the jth transmitting end, where the optimal precoding matrix maximizes channel capacity of a link from the jth transmitting end to the jth receiving end under a circumstance that precoding matrices of other transmitting ends do not change.