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

Year: 2025

Type: article

Abstract: Non-binary low-density parity-check (NB-LDPC) codes outperform binary codes, particularly when used with short packets and/orq-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 (dv). Simulation results show it reduces the performance gap to Belief-Propagation compared to the standard MVSF algorithm. For instance, for adv= 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.

Source: IEEE Communications Letters

DOI: 10.1109/lcomm.2025.3623073

Authors: Abdallah Abdallah, Camille Moniére, Bertrand Le Gal, Emmanuel Boutillon

Institutions: Université de Bretagne Sud, Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance, Institut national de recherche en sciences et technologies du numérique, Institut de Recherche en Informatique et Systèmes Aléatoires, Université de Rennes

Language: English

Topic: Error Correcting Code Techniques

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Agence Nationale de la Recherche

OpenAlex ID: W7092285440

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