Code-Weight Sphere Decoding

Fuente: arXiv
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Main Authors: Jo, Yubeen, Choi, Geon, Kim, Yongjune, Lee, Namyoon
Format: Preprint
Published: 2025
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author Jo, Yubeen
Choi, Geon
Kim, Yongjune
Lee, Namyoon
author_facet Jo, Yubeen
Choi, Geon
Kim, Yongjune
Lee, Namyoon
contents Ultra-reliable low-latency communications (URLLC) demand high-performance error-correcting codes and decoders in the finite blocklength regime. This letter introduces a novel two-stage near-maximum likelihood (near-ML) decoding framework applicable to any linear block code. Our approach first employs a low-complexity initial decoder. If this initial stage fails a cyclic redundancy check, it triggers a second stage: the proposed code-weight sphere decoding (WSD). WSD iteratively refines the codeword estimate by exploring a localized sphere of candidates constructed from pre-computed low-weight codewords. This strategy adaptively minimizes computational overhead at high signal-to-noise ratios while achieving near-ML performance, especially for low-rate codes. Extensive simulations demonstrate that our two-stage decoder provides an excellent trade-off between decoding reliability and complexity, establishing it as a promising solution for next-generation URLLC systems.
format Preprint
id arxiv_https___arxiv_org_abs_2508_19631
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Code-Weight Sphere Decoding
Jo, Yubeen
Choi, Geon
Kim, Yongjune
Lee, Namyoon
Signal Processing
Information Theory
Ultra-reliable low-latency communications (URLLC) demand high-performance error-correcting codes and decoders in the finite blocklength regime. This letter introduces a novel two-stage near-maximum likelihood (near-ML) decoding framework applicable to any linear block code. Our approach first employs a low-complexity initial decoder. If this initial stage fails a cyclic redundancy check, it triggers a second stage: the proposed code-weight sphere decoding (WSD). WSD iteratively refines the codeword estimate by exploring a localized sphere of candidates constructed from pre-computed low-weight codewords. This strategy adaptively minimizes computational overhead at high signal-to-noise ratios while achieving near-ML performance, especially for low-rate codes. Extensive simulations demonstrate that our two-stage decoder provides an excellent trade-off between decoding reliability and complexity, establishing it as a promising solution for next-generation URLLC systems.
title Code-Weight Sphere Decoding
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2508.19631