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Design and Analysis of Joint Group Shuffled Scheduling Decoding Algorithm for Double LDPC Codes System.

Qiwang Chen1, Yanzhao Ren1, Lin Zhou1

  • 1Xiamen Key Laboratory of Mobile Multimedia Communications, College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China.

Entropy (Basel, Switzerland)
|February 25, 2023
PubMed
Summary
This summary is machine-generated.

A new joint group shuffled scheduling decoding (JGSSD) algorithm enhances joint source-channel coding (JSCC) with double low-density parity-check (D-LDPC) codes. This JGSSD algorithm optimizes decoding performance, complexity, and latency for D-LDPC systems.

Keywords:
EXITLDPC codebelief propagationjoint source-channel codingshuffled scheduling decoding

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Area of Science:

  • Information Theory
  • Coding Theory
  • Digital Communications

Background:

  • Joint Source-Channel Coding (JSCC) is crucial for efficient data transmission.
  • Double Low-Density Parity-Check (D-LDPC) codes offer powerful error correction capabilities.
  • Existing shuffled scheduling decoding algorithms have limitations in adaptability.

Purpose of the Study:

  • To introduce a novel Joint Group Shuffled Scheduling Decoding (JGSSD) algorithm for JSCC systems employing D-LDPC codes.
  • To enhance the decoding performance, manage complexity, and reduce latency in D-LDPC based JSCC.
  • To analyze the impact of different grouping strategies on decoding performance.

Main Methods:

  • Development of the JGSSD algorithm that treats the D-LDPC structure holistically with group-specific shuffled scheduling.
  • Grouping of variable nodes based on their types or lengths.
  • Introduction of a Joint Extrinsic Information Transfer (JEXIT) algorithm tailored for D-LDPC systems with JGSSD.

Main Results:

  • The proposed JGSSD algorithm demonstrates superior performance compared to conventional methods.
  • Simulation results validate the effectiveness of JGSSD in adapting decoding performance, complexity, and latency.
  • The JEXIT algorithm facilitates analysis of grouping strategy impacts on source and channel decoding.

Conclusions:

  • The JGSSD algorithm offers significant improvements for D-LDPC based JSCC systems.
  • JGSSD provides an adaptive trade-off between decoding performance, complexity, and latency.
  • The proposed methods advance the efficiency and applicability of D-LDPC codes in communication systems.