MU-MIMO SINR Estimation with Channel Aging Coefficients
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Solution Overview
Problem
In multi-user multiple-input multiple-output (MU-MIMO) communication systems, existing methods struggle to accurately estimate signal-to-interference-plus-noise ratio (SINR) due to channel aging and estimation noise, leading to suboptimal transmission parameter selection and potential high packet error rates.
Innovation Solution
A method that calculates the estimated SINR by obtaining channel state information (CSI) and error coefficients related to channel aging and estimation noise, and uses these to select appropriate transmission parameters, including power allocation and beamforming vectors, to optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional SINR estimation methods are used in MU-MIMO systems, then the calculation is simple, but the estimation accuracy deteriorates due to channel aging and estimation noise
Solution Approach 1:
The patent applies preliminary action by pre-calculating error coefficients (channel aging coefficients and estimation noise coefficients) before actual transmission. These coefficients are obtained through channel sounding and stored for later use, allowing the system to compensate for channel aging and estimation noise without performing complex real-time calculations during data transmission.
Solution Approach 2:
The patent introduces error coefficients as intermediary elements that mediate between the channel state information and the SINR calculation. These coefficients (channel aging coefficients and estimation noise coefficients) act as correction factors that adjust the basic SINR calculation to account for channel aging and estimation noise, improving accuracy without requiring direct complex modeling of these effects.
2Productivity
If transmission parameters are selected without accurate SINR estimation, then the parameter selection process is fast, but the data rate and reliability deteriorate
Solution Approach 1:
The patent implements feedback by using the calculated SINR values (which incorporate error coefficients) to select appropriate transmission parameters such as modulation and coding schemes (MCS). The system continuously adapts transmission parameters based on the feedback from SINR measurements, ensuring that the selected parameters match the actual channel conditions, thereby maximizing data rate while maintaining acceptable packet error rates.
3Measurement precision
If channel sounding is performed frequently to reduce channel aging, then the SINR estimation accuracy improves, but the system overhead increases
Solution Approach 1:
The patent applies partial action by performing channel sounding at moderate intervals rather than continuously, and using error coefficients to partially compensate for the aging effect. The channel aging coefficients capture the dominant aging behavior, allowing the system to achieve acceptable accuracy with less frequent sounding, thus reducing overhead while maintaining reasonable SINR estimation accuracy.
Data Source
AI summary
System and method for tuning transmission parameters based on estimated ratio between a signal to an estimated interference plus noise (SINR) of a user, in a multiple-user multiple-input multiple-output (MU-MIMO) communication system, the method including obtaining channel state information (CSI) related to a channel from an access point (AP) to users that participate in a next MU-MIMO transmission, wherein the AP, and the users pertain to the MU-MIMO communication system, obtaining error coefficients related to errors related to channel-ageing and to estimation noise of the CSI, and calculating the estimated SINR, wherein the estimated interference is related to power of the other users and to the estimated channel magnitude the user u, and to the error coefficients, wherein the estimated channel magnitude is derived from the CSI.