Wireless Signal Reception Using Adaptive Resource Block Grouping
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Solution Overview
Problem
Existing MIMO wireless communication systems face challenges in accurately estimating noise covariance matrices due to interference and limited sample sizes, leading to performance degradation in reception methods like MMSE receivers, especially in environments with varying interference patterns.
Innovation Solution
The proposed solution involves reconfiguring resource blocks into new groups based on noise covariance matrices, performing covariance shrinkage schemes, and correcting estimation errors to improve noise and interference estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If noise covariance matrix estimation is performed using limited samples in MIMO wireless communication systems, then the estimation process can be completed with available data, but the estimation accuracy deteriorates due to interference and insufficient sample size
Solution Approach 1:
The patent divides the resource blocks into multiple groups and performs separate noise covariance matrix estimation for each group. This segmentation allows the system to obtain more reliable estimates by pooling samples within each group while maintaining computational feasibility with limited total samples. The segmented approach enables accurate noise estimation even when the overall sample size is limited.
2Measurement precision
If resource blocks are divided into more groups for noise covariance estimation, then the estimation accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent segments resource blocks into multiple groups for parallel noise covariance estimation, which improves accuracy by reducing the impact of interference within each group. The segmentation strategy balances the trade-off between accuracy improvement and processing complexity by creating a manageable number of groups that can be processed efficiently.
Solution Approach 2:
The patent combines the noise covariance estimates from multiple resource block groups to form an overall noise covariance matrix. This merging process consolidates the information from multiple segments, improving the overall estimation accuracy while distributing the processing load across multiple groups, thereby managing complexity.
3Reliability
If conventional MMSE reception methods are used without noise covariance correction, then the processing is simpler, but the reception performance deteriorates in environments with varying interference patterns
Solution Approach 1:
The patent implements a feedback mechanism where the noise covariance matrix is continuously estimated and updated based on the received signals and interference patterns. This feedback loop allows the MMSE receiver to adapt to varying interference conditions, improving reception performance by using the most current noise statistics for signal detection and decoding operations.
Solution Approach 2:
The patent dynamically changes the noise covariance matrix parameters based on the estimated interference patterns and received signal characteristics. By adapting the noise covariance parameters to match the current channel conditions, the system maintains optimal reception performance in varying interference environments without requiring complete system redesign.
Data Source
AI summary
A method performed by an electronic device comprises: obtaining a signal on a plurality of resource blocks (RBs); dividing the plurality of RBs into a plurality of first RB groups; obtaining a first noise covariance matrix related to the plurality of first RB groups; dividing the plurality of RBs into a plurality of second RB groups based on the first noise covariance matrix; obtaining a second noise covariance matrix related to the plurality of second RB groups; and obtaining information corresponding to the signal based on the second noise covariance matrix.