Secrecy relaying strategy over correlated fading channels using CSI estimation

Wang Chen, Mingzhi Wang
{"title":"Secrecy relaying strategy over correlated fading channels using CSI estimation","authors":"Wang Chen, Mingzhi Wang","doi":"10.1145/3369985.3369986","DOIUrl":null,"url":null,"abstract":"Cooperative relaying is considered as an effective method to improve the secrecy performance of wireless communications. However, the existing relay selection strategies do not consider the channel correlations between the main and eavesdropping links which limits the secrecy performance. In this paper, the authors explore how to select relay under correlated fading channels in a multiple decode-and-forward (DF) relay network. To this end, the authors adopt the minimum mean squared error (MMSE) method to estimate the channel state information (CSI) of relay-eavesdropper link based on the channel correlation and then propose the single-relay selection (SRS) strategy. Simulation results show that the proposed SRS strategy outperforms other SRS strategies significantly. To further improve the secrecy performance of the DF system, we propose a novel multiple-relay selection (MRS) method for correlated channels taking advantage of estimating the relay-eavesdropper channel. Results show that our MRS strategy performs better than its SRS version and other MRS strategies. We also find that the our MRS strategy gets more performance gain than other strategies with the number of relays increases indicating the effectiveness of estimating the eavesdropping channel in secure relaying.","PeriodicalId":259201,"journal":{"name":"International Conference on Critical Infrastructure Protection","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Critical Infrastructure Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3369985.3369986","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

Cooperative relaying is considered as an effective method to improve the secrecy performance of wireless communications. However, the existing relay selection strategies do not consider the channel correlations between the main and eavesdropping links which limits the secrecy performance. In this paper, the authors explore how to select relay under correlated fading channels in a multiple decode-and-forward (DF) relay network. To this end, the authors adopt the minimum mean squared error (MMSE) method to estimate the channel state information (CSI) of relay-eavesdropper link based on the channel correlation and then propose the single-relay selection (SRS) strategy. Simulation results show that the proposed SRS strategy outperforms other SRS strategies significantly. To further improve the secrecy performance of the DF system, we propose a novel multiple-relay selection (MRS) method for correlated channels taking advantage of estimating the relay-eavesdropper channel. Results show that our MRS strategy performs better than its SRS version and other MRS strategies. We also find that the our MRS strategy gets more performance gain than other strategies with the number of relays increases indicating the effectiveness of estimating the eavesdropping channel in secure relaying.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于CSI估计的相关衰落信道保密中继策略
协作中继被认为是提高无线通信保密性能的一种有效方法。然而,现有的中继选择策略没有考虑主链路和窃听链路之间的信道相关性,限制了保密性能。本文探讨了在多重中继网络中如何在相关衰落信道下选择中继。为此,采用基于信道相关性的最小均方误差(MMSE)方法估计中继-窃听器链路的信道状态信息(CSI),并提出单中继选择(SRS)策略。仿真结果表明,所提出的SRS策略明显优于其他SRS策略。为了进一步提高DF系统的保密性能,我们提出了一种基于中继窃听器信道估计的相关信道多中继选择方法。结果表明,我们的MRS策略优于其SRS版本和其他MRS策略。我们还发现,随着中继数量的增加,我们的MRS策略比其他策略获得了更多的性能增益,这表明在安全中继中估计窃听信道是有效的。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deep learning chips: challenges and opportunities for ubiquitous power internet of things Secrecy relaying strategy over correlated fading channels using CSI estimation 3D anisotropie convolutional neural network with step transfer learning for liver segmentation Image feature fusion and its application based on trace transform and improved GLBP An improved AOR-based precoding for massive MIMO systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1