Channel State Feedback With Subarray Codebooks for Near-Field MIMO
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Solution Overview
Problem
Existing MIMO wireless communication systems face significant gain loss in near-field regions due to the lack of effective channel state information feedback methods and subarray partitioning schemes, particularly for multilayer transmissions, leading to incompatibility with standard protocols and high computational complexity.
Innovation Solution
A channel information feedback method is provided that involves dividing a large MIMO array into subarrays, using a subarray precoding scheme with a codeword matrix constructed from basis vectors, and feeding back indication information to reduce overhead and maintain compatibility with existing protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional far-field precoding schemes are used in near-field regions, then compatibility with standard protocols is maintained, but significant gain loss occurs due to violation of plane wave approximation
Solution Approach 1:
The patent divides the large MIMO array into multiple subarrays, where each subarray independently performs precoding operations. This segmentation allows the system to adapt to near-field spherical wave propagation characteristics while maintaining compatibility with existing standard protocols through subarray-level precoding feedback schemes.
2Loss of energy
If subarray partitioning is implemented to address near-field communication issues, then beamforming gain is enhanced, but computational complexity and device structure become more complex
Solution Approach 1:
By partitioning the large array into smaller subarrays, the computational complexity of precoding calculations is reduced compared to processing the entire large array simultaneously. Each subarray can be processed independently, enabling efficient near-field precoding while maintaining enhanced beamforming gain.
3Loss of energy
If subarray partitioning is implemented to address near-field communication issues, then beamforming gain is enhanced, but the system structure and processing become more complex
Solution Approach 1:
The patent divides the large MIMO array into multiple subarrays, where each subarray independently performs precoding operations. This segmentation allows the system to adapt to near-field spherical wave propagation characteristics while maintaining compatibility with existing standard protocols through subarray-level precoding feedback schemes.
4Ease of operation
If conventional channel feedback methods are used in near-field regions, then implementation simplicity is maintained, but transmission performance deteriorates due to lack of near-field specific precoding
Solution Approach 1:
The patent divides the large MIMO array into multiple subarrays, where each subarray independently performs precoding operations. This segmentation allows the system to adapt to near-field spherical wave propagation characteristics while maintaining compatibility with existing standard protocols through subarray-level precoding feedback schemes.
Data Source
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AI summary
Provided are a channel information feedback method, an electronic device, and a storage medium. The method includes determining a measurement result of channel state information according to a measured reference signal; determining a codebook, where the codebook includes at least one codeword; determining a codeword W in the codebook according to the measurement result; and feeding back indication information of the codeword W. The codeword W is a matrix that has N rows and r columns and includes r column vectors V1, V2, ..., Vr, where N > 1, and r ≥ 1. The i-th column vector Vi of the codeword W is constructed according to the following basis vector model u: u=α1ν1α2ν2⋮αKνK, where the basis vector model u includes K sub-vectors, the length of the k-th sub-vector νk is Nk, αk is a sub-vector coefficient, K ≥ 1, 1≤ k ≤ K, Nk ≥ 1, and i = 1, 2, ..., r. At least two column vectors in the codeword W are constructed from basis vectors, where the basis vectors satisfy the basis vector model u and include different numbers of sub-vectors.