Uplink Precoding Codebook Segmentation for 5G NR Coverage

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Solution Overview

Problem

Existing wireless communication systems face challenges in efficiently managing uplink transmission due to limitations in precoding matrix indicators, particularly in 5G/NR systems operating in higher frequency bands, which affect radio wave propagation and transmission distance.

Innovation Solution

The implementation of a codebook for precoding matrices constructed based on the matrix Wn=I-2⁢un⁢unH, where I is an identity matrix and un is a n×1 vector, to enhance uplink transmission by providing precise precoding for antenna ports, improving beamforming and coverage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional precoding matrix indicators are used in 5G/NR systems operating in higher frequency bands, then device complexity is reduced and ease of operation is maintained, but uplink transmission coverage and efficiency deteriorate due to limitations in radio wave propagation

Engineering Contradiction:
Improveuplink transmission coverageVSAvoidprecoding matrix codebook complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The codebook is segmented into multiple subsets, each optimized for specific transmission scenarios and frequency bands. This segmentation allows the system to select appropriate precoding matrices tailored to specific propagation conditions, thereby improving uplink coverage without requiring the UE to process the entire large codebook, thus managing complexity effectively

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces new parameters including the codebook subset index (CSI-CS) and modified precoding matrix indicators that enable dynamic selection from segmented codebook subsets. These parameter changes allow adaptive optimization of precoding for higher frequency bands, improving transmission reliability while maintaining manageable signal overhead through efficient parameter encoding

Inventive Principle:
Principle #35Parameter changes

2Productivity

If a comprehensive codebook with all possible precoding matrices is implemented, then uplink transmission efficiency is improved through optimal precoding selection, but signaling overhead and message length increase

Engineering Contradiction:
Improveuplink transmission efficiencyVSAvoidsignaling overhead
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent extracts and reports only the necessary codebook subset information through the CSI-CS parameter, rather than transmitting complete precoding matrix details. This extraction approach enables the network to identify the appropriate codebook subset with minimal signaling overhead, while still achieving optimal precoding selection for improved uplink transmission efficiency

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The codebook is pre-organized into subsets with specific characteristics suitable for different transmission conditions. This preliminary organization allows the UE and network to efficiently reference and select appropriate precoding matrices without extensive signaling, as the structured subsets enable rapid identification and selection based on current channel conditions

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20260066961A1Uplink transmission
Publication Date: 2026.03.05 SAMSUNG ELECTRONICS CO LTD
  • US20260066961A1 patent drawing
  • US20260066961A1 patent drawing
  • US20260066961A1 patent drawing

AI summary

Apparatuses and methods for uplink (UL) transmission. A method performed by a user equipment (UE) includes receiving a transmit precoding matrix indicator (TPMI) for a transmission of a physical uplink shared channel (PUSCH) and transmitting the PUSCH based on the TPMI. The TPMI indicates a precoding matrix from a codebook for P antenna ports. The codebook includes precoding matrices constructed based on at least one column of a matrixWn=I-2⁢un⁢unH,where l is an identity matrix, un is a n×1 vector, n≤P, andunHis a Hermitian transpose of the vector un.