CSI Precoding Matrix Codebook Design for Large Antenna Arrays

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Solution Overview

Problem

Existing CSI frameworks face difficulties in accommodating larger antenna arrays, leading to increased CSI complexity and overhead.

Innovation Solution

The proposed solution involves an enhanced CSI framework that supports a two-stage precoding matrix codebook design, reducing dimensionality through port subset selection and employing a dual mode codebook design that extends legacy codebooks to support larger numbers of CSI-RS ports.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If existing CSI frameworks are used with larger antenna arrays, then the system can support more antenna ports, but CSI complexity and overhead increase

Engineering Contradiction:
Improvesupport for larger antenna arraysVSAvoidCSI complexity and overhead
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the CSI feedback process into two stages: wideband PMI selection based on a reduced codebook, and subband CQI refinement. This segmentation allows the system to handle large antenna arrays by breaking down the complex CSI computation into manageable parts, reducing overall complexity while maintaining adaptability to larger antenna configurations

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transforms the CSI codebook from traditional dimensional representations to a two-dimensional structure that separately handles spatial and frequency dimensions. This dimensional transformation enables more efficient representation of channel states for large antenna arrays, reducing the overhead required to describe the channel state information

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If traditional codebooks are extended to support more CSI-RS ports, then compatibility with existing frameworks is maintained, but computational complexity increases

Engineering Contradiction:
Improvecodebook support for more CSI-RS portsVSAvoidcomputational complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The codebook is segmented into wideband and subband components, where the wideband codebook handles the majority of the port coverage with reduced complexity, and the subband codebook provides fine-grained adjustments. This segmentation allows extension to more CSI-RS ports without proportionally increasing computational complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent extracts the essential channel characteristics into a compact wideband representation, separating the dominant spatial features from the finer frequency-dependent variations. This extraction allows the system to support more ports by only transmitting the most significant channel parameters, reducing computational burden

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250192952A1Channel state information (CSI) with indication of precoding matrix
Publication Date: 2025.06.12 LENOVO (SINGAPORE) PTE LTD
  • US20250192952A1 patent drawing
  • US20250192952A1 patent drawing
  • US20250192952A1 patent drawing

AI summary

Various aspects of the present disclosure relate to channel state information (CSI) with indication of precoding matrix. An apparatus (e.g., user equipment (UE)) generates a CSI report including an indication of a precoding matrix, the precoding matrix corresponding to at least one codebook mode. The at least one codebook mode is based at least in part on a codebook type including a set of consecutive transformations including a first transformation including a reduction of dimensions of a plurality of CSI reference signal (RS) (CSI-RS) ports to a first transform domain, and a second transformation including a first linear transformation of the first transform domain to a second transform domain. The apparatus transmits the CSI report to a network entity.