Beamforming Feedback Control for Spatial Stream SNR Balancing
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Solution Overview
Problem
Existing wireless communication technologies face challenges in efficiently controlling the signal-to-noise ratio (SNR) of spatial streams in wireless local area networks, particularly in scenarios involving non-triggered sounding frames, which affects communication performance.
Innovation Solution
A method and device that utilize a first matrix to adjust compressed beamforming feedback (CBF) based on non-triggered sounding frames, controlling the SNR ratio between two spatial streams, and transmit the adjusted CBF to improve communication performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If compressed beamforming feedback is used to respond to non-triggered sounding frames, then wireless communication efficiency is improved, but control over SNR ratio between spatial streams becomes insufficient
Solution Approach 1:
The patent introduces a first matrix as a new parameter that transforms the compressed beamforming feedback. This matrix specifically controls the SNR ratio between two spatial streams by adjusting the feedback coefficients, thereby achieving precise SNR ratio control while maintaining communication efficiency
Solution Approach 2:
The patent implements a feedback mechanism where the STA adjusts the CBF based on the first matrix and transmits the adjusted feedback to the AP. This closed-loop feedback allows continuous optimization of the SNR ratio control based on actual channel conditions
2Reliability
If the first matrix is applied to adjust CBF, then SNR ratio of spatial streams is optimized, but device complexity increases
Solution Approach 1:
The first matrix is designed as a parameter transformation that operates on the existing CBF structure. By changing the parameter representation rather than adding complex processing stages, the patent optimizes communication performance while keeping the processing complexity manageable
Solution Approach 2:
The first matrix serves multiple functions: it controls the SNR ratio between spatial streams, maintains beamforming accuracy, and adapts to different channel conditions. This multi-functionality reduces the need for separate processing modules, thereby limiting the increase in device complexity
Data Source
AI summary
Wireless communication methods, a device and a storage medium are provided. A method includes: a station transmits a first message to an access point, the first message carrying a field indicating a highest modulation and coding scheme (MCS).