The Error Probability of Spatially Coupled Sparse Regression Codes over Memoryless Channels

Fuente: arXiv
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Autores principales: Liu, Yuhao, Xu, Yizhou, Hou, Tianqi
Formato: Preprint
Publicado: 2024
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author Liu, Yuhao
Xu, Yizhou
Hou, Tianqi
author_facet Liu, Yuhao
Xu, Yizhou
Hou, Tianqi
contents Sparse Regression Codes (SPARCs) are capacity-achieving codes introduced for communication over the Additive White Gaussian Noise (AWGN) channels and were later extended to general memoryless channels. In particular it was shown via threshold saturation that Spatially Coupled Sparse Regression Codes (SC-SPARCs) are capacity-achieving over general memoryless channels when using an Approximate Message Passing decoder (AMP). This paper, for the first time rigorously, analyzes the non-asymptotic performance of the Generalized Approximate Message Passing (GAMP) decoder of SC-SPARCs over memoryless channels, and proves exponential decaying error probability with respect to the code length.
format Preprint
id arxiv_https___arxiv_org_abs_2409_05745
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Error Probability of Spatially Coupled Sparse Regression Codes over Memoryless Channels
Liu, Yuhao
Xu, Yizhou
Hou, Tianqi
Information Theory
Sparse Regression Codes (SPARCs) are capacity-achieving codes introduced for communication over the Additive White Gaussian Noise (AWGN) channels and were later extended to general memoryless channels. In particular it was shown via threshold saturation that Spatially Coupled Sparse Regression Codes (SC-SPARCs) are capacity-achieving over general memoryless channels when using an Approximate Message Passing decoder (AMP). This paper, for the first time rigorously, analyzes the non-asymptotic performance of the Generalized Approximate Message Passing (GAMP) decoder of SC-SPARCs over memoryless channels, and proves exponential decaying error probability with respect to the code length.
title The Error Probability of Spatially Coupled Sparse Regression Codes over Memoryless Channels
topic Information Theory
url https://arxiv.org/abs/2409.05745