Improved performance of TC-OFDM-PLNC for PLCs using exact derived impulsive noise PDFs

Ghanim A. Al-Rubaye, C. Tsimenidis, M. Johnston
{"title":"Improved performance of TC-OFDM-PLNC for PLCs using exact derived impulsive noise PDFs","authors":"Ghanim A. Al-Rubaye, C. Tsimenidis, M. Johnston","doi":"10.1109/ICCW.2017.7962833","DOIUrl":null,"url":null,"abstract":"This paper presents an improvement to the end-to-end bit error rate (E2E-BER) performance of turbo-coded orthogonal frequency division multiplexing for physical layer network coding (TC-OFDM-PLNC) over power line communication (PLC) channels in the presence of impulsive noise. A novel detection scheme is introduced to transform the transmit signal constellation based on the frequency-domain channel coefficients in order to improve the performance of the turbo decoder at the relay node and end nodes, respectively, on a link-by-link (LBL) basis utilizing newly derived noise probability density functions (PDFs). Moreover, the closed-form expressions of the BER at the relay, end nodes and E2E are derived, in addition to the E2E average BER upper-bound (AUB). Monte Carlo simulation results closely verify the validity of the derived analytical expressions and reveal that the proposed method utilizing exact derived PDFs for impulsive probability α = 10−1 gives coding gains of 4.5 dB and 8.5 dB at Pe = 10−4 for the minimum mean square error (MMSE) and the zero forcing (ZF) equalizers, respectively, compared to the conventional TC-OFDM-PLNC system.","PeriodicalId":6656,"journal":{"name":"2017 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"32 1","pages":"1271-1276"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Communications Workshops (ICC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCW.2017.7962833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

This paper presents an improvement to the end-to-end bit error rate (E2E-BER) performance of turbo-coded orthogonal frequency division multiplexing for physical layer network coding (TC-OFDM-PLNC) over power line communication (PLC) channels in the presence of impulsive noise. A novel detection scheme is introduced to transform the transmit signal constellation based on the frequency-domain channel coefficients in order to improve the performance of the turbo decoder at the relay node and end nodes, respectively, on a link-by-link (LBL) basis utilizing newly derived noise probability density functions (PDFs). Moreover, the closed-form expressions of the BER at the relay, end nodes and E2E are derived, in addition to the E2E average BER upper-bound (AUB). Monte Carlo simulation results closely verify the validity of the derived analytical expressions and reveal that the proposed method utilizing exact derived PDFs for impulsive probability α = 10−1 gives coding gains of 4.5 dB and 8.5 dB at Pe = 10−4 for the minimum mean square error (MMSE) and the zero forcing (ZF) equalizers, respectively, compared to the conventional TC-OFDM-PLNC system.
利用精确导出的脉冲噪声pdf改进plc的TC-OFDM-PLNC性能
本文提出了一种改善电力线通信(PLC)信道中存在脉冲噪声的物理层网络编码(TC-OFDM-PLNC)的turbo编码正交频分复用端到端误码率(E2E-BER)性能的方法。为了提高turbo解码器在中继节点和终端节点上的性能,提出了一种基于频域信道系数对发射信号星座进行变换的新检测方案,利用新导出的噪声概率密度函数(pdf)在链路逐链路(LBL)的基础上提高turbo解码器的性能。推导了中继节点、端到端节点和端到端误码率的封闭表达式以及端到端平均误码率上界(AUB)。蒙特卡罗仿真结果验证了推导出的解析表达式的有效性,并表明,与传统的TC-OFDM-PLNC系统相比,该方法利用脉冲概率α = 10−1的精确推导pdf,在Pe = 10−4时,最小均方误差(MMSE)和零强迫(ZF)均衡器的编码增益分别为4.5 dB和8.5 dB。
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