DS-CDMA系统中差错控制的联合多用户LDPC编码方案

Hamid Saber, E. Olfat, H. Amindavar
{"title":"DS-CDMA系统中差错控制的联合多用户LDPC编码方案","authors":"Hamid Saber, E. Olfat, H. Amindavar","doi":"10.1109/AICT.2010.28","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce the application of low density parity check (LDPC) codes to multiuser detection through additive white gaussian noise (AWGN) channels. An ensemble of binary LDPC codes with an irregular degree distribution is used. We introduce Joint Multiuser LDPC (JML) Tanner graph for joint decoding of information bits of all users. The decoding of information sources is done by a modified iterative belief propagation (BP) algorithm, which deals with vector messages rather than scalar ones. Good degree distribution pairs are extracted by maximizing the threshold of the decoder. Next, performance of the generated degree distribution pairs is evaluated over AWGN channels. Furthermore, some performance analysis criteria of the proposed method such as multiuser efficiency and bit error rate (BER) are compared with optimum and minimum mean square error (MMSE) receivers and also with receivers, which use convolutional codes. Finally simulation results demonstrate that the new proposed method outperforms these receivers for some good degree distribution pairs.","PeriodicalId":339151,"journal":{"name":"2010 Sixth Advanced International Conference on Telecommunications","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Multiuser LDPC Coding Scheme for Error Control in DS-CDMA Systems\",\"authors\":\"Hamid Saber, E. Olfat, H. Amindavar\",\"doi\":\"10.1109/AICT.2010.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce the application of low density parity check (LDPC) codes to multiuser detection through additive white gaussian noise (AWGN) channels. An ensemble of binary LDPC codes with an irregular degree distribution is used. We introduce Joint Multiuser LDPC (JML) Tanner graph for joint decoding of information bits of all users. The decoding of information sources is done by a modified iterative belief propagation (BP) algorithm, which deals with vector messages rather than scalar ones. Good degree distribution pairs are extracted by maximizing the threshold of the decoder. Next, performance of the generated degree distribution pairs is evaluated over AWGN channels. Furthermore, some performance analysis criteria of the proposed method such as multiuser efficiency and bit error rate (BER) are compared with optimum and minimum mean square error (MMSE) receivers and also with receivers, which use convolutional codes. Finally simulation results demonstrate that the new proposed method outperforms these receivers for some good degree distribution pairs.\",\"PeriodicalId\":339151,\"journal\":{\"name\":\"2010 Sixth Advanced International Conference on Telecommunications\",\"volume\":\"147 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Sixth Advanced International Conference on Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICT.2010.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Sixth Advanced International Conference on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT.2010.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了低密度奇偶校验码(LDPC)在加性高斯白噪声(AWGN)信道中多用户检测中的应用。采用了一种不规则度分布的二进制LDPC码集合。引入联合多用户LDPC (JML) Tanner图,对所有用户的信息位进行联合解码。信息源的解码由改进的迭代信念传播(BP)算法完成,该算法处理向量消息而不是标量消息。通过最大化解码器的阈值提取出好的度分布对。接下来,在AWGN信道上评估生成的度分布对的性能。此外,还将该方法的多用户效率和误码率等性能分析指标与最优和最小均方误差(MMSE)接收机以及使用卷积码的接收机进行了比较。最后,仿真结果表明,该方法在一些良好的度分布对上优于传统的接收机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Multiuser LDPC Coding Scheme for Error Control in DS-CDMA Systems
In this paper, we introduce the application of low density parity check (LDPC) codes to multiuser detection through additive white gaussian noise (AWGN) channels. An ensemble of binary LDPC codes with an irregular degree distribution is used. We introduce Joint Multiuser LDPC (JML) Tanner graph for joint decoding of information bits of all users. The decoding of information sources is done by a modified iterative belief propagation (BP) algorithm, which deals with vector messages rather than scalar ones. Good degree distribution pairs are extracted by maximizing the threshold of the decoder. Next, performance of the generated degree distribution pairs is evaluated over AWGN channels. Furthermore, some performance analysis criteria of the proposed method such as multiuser efficiency and bit error rate (BER) are compared with optimum and minimum mean square error (MMSE) receivers and also with receivers, which use convolutional codes. Finally simulation results demonstrate that the new proposed method outperforms these receivers for some good degree distribution pairs.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信