An Improved Hybrid LDPC Decoder over Rayleigh Fading Channel

Reza Biazaran, H. J. Helgert
{"title":"An Improved Hybrid LDPC Decoder over Rayleigh Fading Channel","authors":"Reza Biazaran, H. J. Helgert","doi":"10.1109/AICT55583.2022.10013650","DOIUrl":null,"url":null,"abstract":"Soft decision decoders applicable to low density parity check codes such as sum product algorithms provide excellent error performance, however, it comes at the expense of computational complexity. Additionally, many iterations may be required of these decoders to achieve desired error performance. The processing delay associated with too many iterations may be a drawback for cases where low latency is a critical requirement. Conversely, performance of hard decision decoders such as bit flipping decoder and its variants, while improved, generally are not on par with that of soft decision decoders. Such decoders also require many iterations to achieve a given error performance. We have proposed a two-stage hybrid decoder with a simplified sum product algorithm (SPA) in the first stage, and an improved noisy gradient decent bit flipping decoder in the second stage. We have shown that our proposed hybrid decoder outperforms the legacy individual decoders, studied in this paper, from error performance point of view as well as required number of iterations that will reduce the overall network latency.","PeriodicalId":441475,"journal":{"name":"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT55583.2022.10013650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Soft decision decoders applicable to low density parity check codes such as sum product algorithms provide excellent error performance, however, it comes at the expense of computational complexity. Additionally, many iterations may be required of these decoders to achieve desired error performance. The processing delay associated with too many iterations may be a drawback for cases where low latency is a critical requirement. Conversely, performance of hard decision decoders such as bit flipping decoder and its variants, while improved, generally are not on par with that of soft decision decoders. Such decoders also require many iterations to achieve a given error performance. We have proposed a two-stage hybrid decoder with a simplified sum product algorithm (SPA) in the first stage, and an improved noisy gradient decent bit flipping decoder in the second stage. We have shown that our proposed hybrid decoder outperforms the legacy individual decoders, studied in this paper, from error performance point of view as well as required number of iterations that will reduce the overall network latency.
一种基于瑞利衰落信道的改进混合LDPC解码器
适用于低密度奇偶校验码(如和积算法)的软判决解码器提供了出色的错误性能,但其代价是计算复杂度的增加。此外,这些解码器可能需要许多迭代才能达到期望的错误性能。在低延迟是关键需求的情况下,与太多迭代相关的处理延迟可能是一个缺点。相反,硬决策解码器(如位翻转解码器及其变体)的性能虽然有所提高,但通常无法与软决策解码器相提并论。这样的解码器还需要多次迭代才能达到给定的错误性能。我们提出了一种两级混合解码器,第一阶段采用简化和积算法(SPA),第二阶段采用改进的噪声梯度体面的位翻转解码器。我们已经证明,从错误性能的角度来看,我们提出的混合解码器优于本文研究的传统单个解码器,以及所需的迭代次数,这将减少整体网络延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信