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Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems

A forward error correction (FEC) and unity-rate coded (URC) autoencoder (AE)-assisted communication system is proposed for the first time, which relies on soft iterative decoding for attaining a vanishingly low error probability. The AE-demapper is specifically designed for directly calculating the...

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Main Authors: Luping, Xiang, Chao, Xu, Xiaoyu, Zhang
Format: Bài trích
Language:English
Published: IEEE 2022
Subjects:
Iterative decoding
Communication systems
Online Access:https://ieeexplore.ieee.org/document/9713687/keywords#keywords
https://dlib.phenikaa-uni.edu.vn/handle/PNK/5743
https://doi.org/10.1109/TVT.2022.3151246
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spelling oai:localhost:PNK-57432022-08-17T05:54:52Z Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems Luping, Xiang Chao, Xu Xiaoyu, Zhang Iterative decoding Communication systems A forward error correction (FEC) and unity-rate coded (URC) autoencoder (AE)-assisted communication system is proposed for the first time, which relies on soft iterative decoding for attaining a vanishingly low error probability. The AE-demapper is specifically designed for directly calculating the extrinsic logarithmic likelihood ratios (LLRs), which can be directly entered into the URC decoder for soft iterative decoding. This avoids the potential degradation due to the conversion of symbol probabilities to bit LLRs. A comprehensive capacity analysis of the AE is performed, which demonstrates the capacity advantage of the AE-aided constellation design over its conventional quadrature amplitude modulation (QAM)/ phase shift keying (PSK) counterpart. Furthermore, we carry out its EXtrinsic Information Transfer (EXIT) chart analysis, which indicates that as a benefit of our URC, the EXIT curve always reaches the [1,1] point of perfect convergence, leading to a vanishingly low error probability. More explicitly, our bit error ratio (BER) and block error ratio (BLER) results demonstrate that the proposed FEC-URC-AE system achieves significant iterative gains both in additive white Gaussian noise (AWGN) and Rayleigh channels, outperforming both its model-based FEC-AE and its conventional coded QAM/QPSK counterparts 2022-05-05T07:26:16Z 2022-05-05T07:26:16Z 2022 Bài trích https://ieeexplore.ieee.org/document/9713687/keywords#keywords https://dlib.phenikaa-uni.edu.vn/handle/PNK/5743 https://doi.org/10.1109/TVT.2022.3151246 en IEEE
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Iterative decoding
Communication systems
spellingShingle Iterative decoding
Communication systems
Luping, Xiang
Chao, Xu
Xiaoyu, Zhang
Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems
description A forward error correction (FEC) and unity-rate coded (URC) autoencoder (AE)-assisted communication system is proposed for the first time, which relies on soft iterative decoding for attaining a vanishingly low error probability. The AE-demapper is specifically designed for directly calculating the extrinsic logarithmic likelihood ratios (LLRs), which can be directly entered into the URC decoder for soft iterative decoding. This avoids the potential degradation due to the conversion of symbol probabilities to bit LLRs. A comprehensive capacity analysis of the AE is performed, which demonstrates the capacity advantage of the AE-aided constellation design over its conventional quadrature amplitude modulation (QAM)/ phase shift keying (PSK) counterpart. Furthermore, we carry out its EXtrinsic Information Transfer (EXIT) chart analysis, which indicates that as a benefit of our URC, the EXIT curve always reaches the [1,1] point of perfect convergence, leading to a vanishingly low error probability. More explicitly, our bit error ratio (BER) and block error ratio (BLER) results demonstrate that the proposed FEC-URC-AE system achieves significant iterative gains both in additive white Gaussian noise (AWGN) and Rayleigh channels, outperforming both its model-based FEC-AE and its conventional coded QAM/QPSK counterparts
format Bài trích
author Luping, Xiang
Chao, Xu
Xiaoyu, Zhang
author_facet Luping, Xiang
Chao, Xu
Xiaoyu, Zhang
author_sort Luping, Xiang
title Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems
title_short Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems
title_full Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems
title_fullStr Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems
title_full_unstemmed Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems
title_sort unity-rate coding improves the iterative detection convergence of autoencoder-aided communication systems
publisher IEEE
publishDate 2022
url https://ieeexplore.ieee.org/document/9713687/keywords#keywords
https://dlib.phenikaa-uni.edu.vn/handle/PNK/5743
https://doi.org/10.1109/TVT.2022.3151246
_version_ 1751856280805310464
score 8.891145

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