CSI Feedback Compression via Dual-Vector PMI in MIMO Systems

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Solution Overview

Problem

The existing CSI feedback methods in MIMO wireless communication systems result in high overhead due to the need to accurately feed back channel state information, which is not efficiently managed when dealing with multiple sub-bands.

Innovation Solution

The proposed method involves determining precoding matrix indication information (PMI) that includes first and second base vector information along with corresponding coefficient information. This PMI is then fed back to the base station, where precoding vectors are represented as linear combinations of first and second base vectors, reducing the feedback overhead by compressing frequency and spatial domain channel coefficients.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If linear weighted merging is performed on DFT vectors with per-sub-band coefficient feedback, then CSI feedback performance is improved, but feedback overhead increases significantly

Engineering Contradiction:
ImproveCSI feedback performanceVSAvoidfeedback overhead
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent segments the feedback information into two distinct parts: (1) amplitude coefficients fed back at wideband level, and (2) phase information fed back at sub-band level. This segmentation allows different quantization granularities for different parameters, reducing the total feedback overhead while maintaining CSI accuracy. The base vectors are also segmented into spatial domain base vectors and frequency domain base vectors, with different feedback strategies applied to each.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different feedback precision strategies to different components of the CSI feedback: amplitude coefficients use coarser quantization at wideband level, while phase information uses finer quantization at sub-band level. This local quality approach optimizes the trade-off between feedback overhead and CSI accuracy for each component based on its sensitivity requirements.

Inventive Principle:
Principle #3Local quality

2Quantity of substance

If only wideband amplitude or phase information is fed back, then feedback overhead is reduced, but codebook feedback performance cannot be fully utilized

Engineering Contradiction:
Improvefeedback overheadVSAvoidcodebook feedback performance
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent implements a dynamic feedback strategy where the feedback granularity varies by parameter type and frequency domain. Amplitude coefficients are fed back at wideband level with coarser resolution, while phase information is fed back at sub-band level with finer resolution. This dynamic approach adapts the feedback precision to the actual requirements of each parameter, fully utilizing codebook feedback performance while controlling overhead.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12255718B2CSI feedback and receiving methods, apparatus, device, and storage medium
Publication Date: 2025.03.18 ZTE CORP
  • US12255718B2 patent drawing
  • US12255718B2 patent drawing
  • US12255718B2 patent drawing

AI summary

Provided are CSI feedback and receiving methods, apparatuses, a device, and a storage medium. The method includes: a terminal determines PMI, the PMI includes at least one of: first base vector information, second base vector information, second coefficient amplitude information or phase information; for one transmission layer, a frequency domain resource in one preset frequency domain unit corresponds to one precoding vector, the precoding vector is a linear combination of first base vectors, and weighting coefficients used in the linear combination of the first base vectors are first coefficients; on multiple frequency domain units contained in a CSI feedback band, a vector composed of first coefficients corresponding to a same first base vector is a linear combination of second base vectors, and weighting coefficients used in the linear combination of the second base vectors are second coefficients; and the terminal feeds back CSI containing the PMI to a base station.