MIMO SIC Coefficient Generation Using Shared Matrix Inversion
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Solution Overview
Problem
Conventional MIMO systems face high computational complexity in generating Successive Interference Cancellation (SIC) equalizer coefficients for multiple layers, which increases overhead and complexity in receivers.
Innovation Solution
The method employs a modified version of Riccatti Recursion to concurrently generate SIC equalizer coefficients for multiple layers by computing a single matrix inverse, reducing the need for separate inverse calculations for each layer, particularly for systems with more than 2 transmit antennas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If separate matrix inverse calculations are performed for each layer in conventional MIMO systems, then equalizer coefficients can be generated for multiple layers, but computational complexity and overhead increase significantly
Solution Approach 1:
The patent combines separate matrix inverse calculations for multiple layers into a single unified calculation. By merging the generation of equalizer coefficients for all layers into one computational process, the system eliminates redundant operations and reduces overall computational complexity while maintaining the ability to support multiple spatial layers in MIMO systems
Solution Approach 2:
The patent creates a universal matrix inverse calculation that serves multiple functions simultaneously. A single calculated matrix inverse is used to generate equalizer coefficients for all spatial layers, making the computation multi-functional and eliminating the need for separate calculations for each layer, thereby reducing overhead and complexity
Data Source
AI summary
SIC equalizer coefficients for multiple layers are concurrently generated in a manner that reduces computational overhead and complexity. If number of transmit antennas (MT) used exceeds two, matrix inverse(s) are generated by using a modified version of Riccatti Recursion. While producing an inverse matrix using this technique, for an N layer matrix (N being an integer >2), inverse matrixe(s) for layers less than N are also concurrently produced—thus, eliminating the requirement of producing inverse an matrix for each respective layer separately.