Channel Quantization Complexity Reduction via Codebook Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing complexity of channel quantization in multi-antenna wireless communication systems, particularly with higher antenna counts and diverse base station deployments, leads to significant implementation challenges and costs due to high pilot overhead and complex codebook selection processes.
Innovation Solution
A method and device that determine the CSI reference resource time-domain position based on predetermined conditions related to feedback modes, codebook parameters, and pilot configurations, optimizing CSI quantization and feedback to reduce complexity without significant performance loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-dimensional feedback class A or class B is used to support more antenna ports and higher accuracy, then measurement precision and adaptability are improved, but device complexity and pilot overhead increase significantly
Solution Approach 1:
The patent segments the codebook into multiple codebook groups, each corresponding to different antenna port configurations and feedback classes. This segmentation allows the terminal to select only the relevant codebook group based on the configured feedback class, thereby reducing the search space and computational complexity while maintaining measurement accuracy for the specific antenna configuration.
Solution Approach 2:
Different codebook groups are designed with local optimizations tailored to specific feedback classes (class A for non-precoding pilots, class B for precoding pilots). Each codebook group contains codewords optimized for its specific scenario, allowing the terminal to use a simplified, specialized codebook rather than a universal complex one, thus reducing complexity while preserving measurement precision for the given configuration.
2Adaptability or versatility
If the number of antenna ports is increased to support more diverse base station deployments, then adaptability is improved, but pilot overhead and feedback overhead increase significantly
Solution Approach 1:
The patent introduces dynamic selection of codebook groups based on the feedback class configuration. The terminal adapts its quantization process by selecting the appropriate codebook group (first group for class A, second group for class B) according to the configured feedback class, allowing the system to efficiently support diverse antenna configurations without permanently allocating resources for all possible configurations, thereby reducing pilot overhead while maintaining adaptability.
3Measurement precision
If high-accuracy codebook is used for high-dimensional feedback, then measurement precision is improved, but complexity of code word selection increases significantly
Solution Approach 1:
The codebook is segmented into multiple codebook groups, where each group contains a subset of codewords optimized for specific feedback classes and antenna configurations. This segmentation dramatically reduces the code word selection complexity by limiting the search space to a manageable subset rather than the entire high-dimensional codebook, while still maintaining high quantization accuracy for the specific configuration being used.
Data Source
AI summary
Embodiments of the present invention provide a method and device for reducing complexity of channel quantization. The method comprises: determining, on the basis of whether a measurement feedback parameter configured by a channel state information (CSI) process satisfies a predetermined condition, a CSI report time-domain position and a time interval requirement parameter Nrpt-ref for a CSI reference resource time-domain position, or determining a CSI trigger time-domain position and a time interval requirement parameter Nrpt-ref for a CSI reference resource time-domain position; determining, according to the determined time interval requirement parameter Nrpt-ref and the CSI report time-domain position, the CSI reference resource time-domain position, or determining, according to the determined time interval requirement parameter Nrpt-ref and the CSI trigger time-domain position, the CSI reference resource time-domain position; and performing CSI quantization according to the determined CSI reference resource time-domain position.