Codebook Weighting Coefficient Quantization for Feedback Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing NR type II codebook requires large feedback amounts due to high spatial quantization accuracy, particularly for non-quantized weighting coefficients, which increases the length of the reported message.
Innovation Solution
Quantization processing is applied to the weighting coefficients for codebook calculation, reducing the length of the reported message by converting non-quantized weighting coefficients into quantized coefficients using amplitude quantization tables, thereby compromising on performance overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-quantized weighting coefficients are used for codebook calculation, then spatial quantization accuracy is improved, but the length of the reported message increases
Solution Approach 1:
The patent applies quantization processing to transform the weighting coefficients from non-quantized form to quantized form with limited precision. Specifically, the amplitude and phase of weighting coefficients are quantized to a finite number of bits, reducing the feedback overhead while maintaining acceptable codebook calculation accuracy for channel state information reporting
Solution Approach 2:
The patent differentiates the treatment of different parameters in the codebook. While spatial beam parameters maintain high precision, the weighting coefficients undergo quantization with controlled precision loss. This selective approach preserves essential spatial information while reducing the burden of transmitting fine-grained weighting details
2Manufacturing precision
If high spatial quantization accuracy is maintained, then codebook calculation precision is improved, but feedback overhead increases
Solution Approach 1:
The patent introduces quantization parameters (number of bits for amplitude and phase) to control the precision of weighting coefficients. By adjusting these quantization parameters, the system can trade off between codebook calculation precision and feedback overhead according to specific channel conditions and performance requirements
Solution Approach 2:
The patent applies quantization to only the weighting coefficients while maintaining full precision for other codebook parameters such as spatial beam indices and DFT basis vectors. This partial quantization approach reduces feedback overhead selectively without compromising the overall codebook calculation precision
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
Disclosed in the present invention are a codebook processing method, a terminal device, a network device, a chip, a computer-readable storage medium, a computer program product and a computer product, the method comprising: on the basis of a first quantity and a second quantity, at least determining a non-quantitative weighting coefficient used for codebook calculation; carrying out quantization processing on the non-quantitative weighting coefficient to obtain a quantized weighting coefficient; and at least sending the quantized weighting coefficient used for codebook calculation to a network side.