Spiking Neural Belief Propagation Decoder for Short Block Length LDPC Codes

Fuente: arXiv
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Main Authors: von Bank, Alexander, Edelmann, Eike-Manuel, Miao, Sisi, Mandelbaum, Jonathan, Schmalen, Laurent
Format: Preprint
Published: 2024
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author von Bank, Alexander
Edelmann, Eike-Manuel
Miao, Sisi
Mandelbaum, Jonathan
Schmalen, Laurent
author_facet von Bank, Alexander
Edelmann, Eike-Manuel
Miao, Sisi
Mandelbaum, Jonathan
Schmalen, Laurent
contents Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This paper proposes a novel decoding algorithm for low-density parity-check (LDPC) codes that integrates SNNs into belief propagation (BP) decoding by approximating the check node update equations using SNNs. For the (273,191) and (1023,781) finite-geometry LDPC code, the proposed decoder outperforms sum-product decoder at high signal-to-noise ratios (SNRs). The decoder achieves a similar bit error rate to normalized sum-product decoding with successive relaxation. Furthermore, the novel decoding operates without requiring knowledge of the SNR, making it robust to SNR mismatch.
format Preprint
id arxiv_https___arxiv_org_abs_2410_11543
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spiking Neural Belief Propagation Decoder for Short Block Length LDPC Codes
von Bank, Alexander
Edelmann, Eike-Manuel
Miao, Sisi
Mandelbaum, Jonathan
Schmalen, Laurent
Signal Processing
Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This paper proposes a novel decoding algorithm for low-density parity-check (LDPC) codes that integrates SNNs into belief propagation (BP) decoding by approximating the check node update equations using SNNs. For the (273,191) and (1023,781) finite-geometry LDPC code, the proposed decoder outperforms sum-product decoder at high signal-to-noise ratios (SNRs). The decoder achieves a similar bit error rate to normalized sum-product decoding with successive relaxation. Furthermore, the novel decoding operates without requiring knowledge of the SNR, making it robust to SNR mismatch.
title Spiking Neural Belief Propagation Decoder for Short Block Length LDPC Codes
topic Signal Processing
url https://arxiv.org/abs/2410.11543