Performance of distributed multiple turbo code with MIMO antennas over frequency selective Rayleigh fading channels

R. Umar, Fengfan Yang, S. Mughal
{"title":"Performance of distributed multiple turbo code with MIMO antennas over frequency selective Rayleigh fading channels","authors":"R. Umar, Fengfan Yang, S. Mughal","doi":"10.1109/ICEEST48626.2019.8981689","DOIUrl":null,"url":null,"abstract":"This paper presents multiple turbo coded cooperative orthogonal frequency division multiplexing (MTCC-OFDM) scheme over a quasi-static frequency selective Rayleigh fading channel. The MTCC-OFDM scheme is composed of multiple input and multiple output antennas. As, in practical coded cooperative scenario, the relay terminal is mostly in outage due to noisy source to relay channel which causes an erroneous transmission towards the destination terminal that eventually results in a very low bit-error rate (BER) performance of the communication system. Therefore, in the proposed scheme, a turbo iterative decoding is being performed at the relay terminal that considerably improves the BER performance of the communication system. The numerical simulated results confirm that the proposed scheme not only out-performs its related coded non-cooperative scheme i.e., turbo coded OFDM scheme under a similar conditions in terms of bit error-correction performance but also offers robustness in a noisy (practical) source to relay channel scenario.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEST48626.2019.8981689","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

This paper presents multiple turbo coded cooperative orthogonal frequency division multiplexing (MTCC-OFDM) scheme over a quasi-static frequency selective Rayleigh fading channel. The MTCC-OFDM scheme is composed of multiple input and multiple output antennas. As, in practical coded cooperative scenario, the relay terminal is mostly in outage due to noisy source to relay channel which causes an erroneous transmission towards the destination terminal that eventually results in a very low bit-error rate (BER) performance of the communication system. Therefore, in the proposed scheme, a turbo iterative decoding is being performed at the relay terminal that considerably improves the BER performance of the communication system. The numerical simulated results confirm that the proposed scheme not only out-performs its related coded non-cooperative scheme i.e., turbo coded OFDM scheme under a similar conditions in terms of bit error-correction performance but also offers robustness in a noisy (practical) source to relay channel scenario.
基于MIMO天线的分布式多turbo码在频率选择瑞利衰落信道上的性能
提出了一种基于准静态瑞利衰落信道的多重turbo编码协同正交频分复用(MTCC-OFDM)方案。MTCC-OFDM方案由多输入多输出天线组成。由于在实际的编码协作场景中,中继终端往往由于中继信道的噪声源而处于中断状态,从而导致向目的终端的错误传输,最终导致通信系统的误码率(BER)性能很低。因此,在所提出的方案中,在中继终端进行turbo迭代解码,大大提高了通信系统的误码率性能。数值仿真结果表明,该方案不仅在纠错性能上优于其相关的编码非合作方案,即在相似条件下的turbo编码OFDM方案,而且在噪声(实际)源到中继信道场景中具有鲁棒性。
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