Adaptive Multiple-Attempts Approach to Optimize Multiple-Vote Symbol-Flipping NB-LDPC Decoder

Non-binary low-density parity-check (NB-LDPC) codes outperform binary codes, particularly when used with short packets and/or <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</i>-ary modulation. This paper presents the Adaptive Multiple-Attempts Multiple-Vote Symbol-Flipping (AMA-MVSF) algorithm, which enhances Multiple-Vote Symbol-Flipping (MVSF) performance for lower variable-node degrees (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d<sub>v</sub></i>). Simulation results show it reduces the performance gap to Belief-Propagation compared to the standard MVSF algorithm. For instance, for a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d<sub>v</sub></i> = 3 NB-LDPC code, the FER gap decreases from 0.8 dB to 0.42 dB. The proposed approach improves decoding performance while maintaining computational simplicity and hardware efficiency, key requirements for low-power embedded systems.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-10-17
DOI
https://doi.org/10.1109/lcomm.2025.3623073
Primary Topic
Chemistry and Stereochemistry Studies
Type
article
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article

Adaptive Multiple-Attempts Approach to Optimize Multiple-Vote Symbol-Flipping NB-LDPC Decoder

IEEE Communications Letters
Chemistry and Stereochemistry Studies
article

Adaptive Multiple-Attempts Approach to Optimize Multiple-Vote Symbol-Flipping NB-LDPC Decoder

article en

Abstract

Non-binary low-density parity-check (NB-LDPC) codes outperform binary codes, particularly when used with short packets and/or <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</i>-ary modulation. This paper presents the Adaptive Multiple-Attempts Multiple-Vote Symbol-Flipping (AMA-MVSF) algorithm, which enhances Multiple-Vote Symbol-Flipping (MVSF) performance for lower variable-node degrees (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d<sub>v</sub></i>). Simulation results show it reduces the performance gap to Belief-Propagation compared to the standard MVSF algorithm. For instance, for a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d<sub>v</sub></i> = 3 NB-LDPC code, the FER gap decreases from 0.8 dB to 0.42 dB. The proposed approach improves decoding performance while maintaining computational simplicity and hardware efficiency, key requirements for low-power embedded systems.

IEEE Communications LettersVol. 29(12)
Université de Bretagne Occidentale (FR), Université de Bretagne Sud (FR), Institut de Recherche en Informatique et Systèmes Aléatoires (FR), Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance (FR)
Openalex Percentile: Top 46%
Chemistry and Stereochemistry Studies
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Adaptive Multiple-Attempts Approach to Optimize Multiple-Vote Symbol-Flipping NB-LDPC Decoder · IEEE Communications Letters (2025) | TGRS Research Map | TGRS