Windowed FD Basis Mapping to Combinatorial Indicator for PMI
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Solution Overview
Problem
The existing PMI feedback process in wireless communication systems faces challenges in selecting and reporting precoding matrix indicators, particularly due to the complexity of mapping frequency-domain codebook indices to combinatorial indicators, especially when the number of PMI sub-bands is large, leading to increased computational complexity and bit-width requirements.
Innovation Solution
A method is introduced that maps windowed FD basis to a combinatorial indicator for PMI reporting and usage, utilizing a sliding window mechanism and specific mapping functions to reduce the bit-width of the combinatorial indicator, allowing efficient representation of FD basis subsets with reduced computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the existing PMI feedback process uses direct mapping of frequency-domain codebook indices to combinatorial indicators, then the representation accuracy is maintained, but the computational complexity and bit-width requirements increase significantly
Solution Approach 1:
The frequency-domain codebook indices are divided into multiple groups or subsets, where each group is mapped to a separate combinatorial indicator. This segmentation reduces the bit-width required for each individual indicator while maintaining overall representation accuracy through the combined information from multiple segmented indicators.
2Loss of information
If the PMI feedback process reports all frequency-domain codebook indices, then the completeness of channel state information is ensured, but the feedback overhead and signaling bits increase
Solution Approach 1:
The patent extracts and reports only the most significant or representative frequency-domain codebook indices based on channel conditions, rather than reporting all indices. This extraction approach maintains the essential channel state information while significantly reducing the feedback overhead and signaling bits required.
Solution Approach 2:
Instead of reporting all frequency-domain codebook indices, the patent reports a partial set of indices that are sufficient for achieving the desired channel state information accuracy. This partial action approach reduces feedback overhead while maintaining adequate representation of the channel characteristics.
3Measurement precision
If the combinatorial indicator uses full bit-width representation, then the precision of PMI indication is maintained, but the processing complexity and memory requirements increase
Solution Approach 1:
The patent changes the parameter representation by using reduced bit-width combinatorial indicators instead of full bit-width representations. This parameter change reduces processing energy and memory requirements while maintaining PMI indication precision through optimized mapping functions and selective reporting strategies.
Data Source
AI summary
A UE determines a PMI, by performing at least the following: determining an intermediate set of vectors from a FD codebook; forming a subset of the intermediate set of vectors; mapping the subset of vectors to a combinatorial indicator; and forming the PMI at least from the combinatorial indicator. The UE sends the PMI toward a wireless network. A base station receives the PMI from the UE. The PMI includes a combinatorial indicator that maps to a subset of vectors from the FD codebook. The base station determines, using at least the received PMI, information from at least the FD codebook to apply to data for transmission toward the UE.