Robust Outage-Constrained Secrecy Rate of Hybrid Power Line and Wireless Communication With Artificial Noise-Aided Beamforming for Smart Grid

IF 8.3 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Communications Pub Date : 2024-11-20 DOI:10.1109/TCOMM.2024.3502678
Zhengmin Kong;Li Gan;Jing Song;Tao Huang;Weijun Yin;Shihao Yan;Jinhong Yuan
{"title":"Robust Outage-Constrained Secrecy Rate of Hybrid Power Line and Wireless Communication With Artificial Noise-Aided Beamforming for Smart Grid","authors":"Zhengmin Kong;Li Gan;Jing Song;Tao Huang;Weijun Yin;Shihao Yan;Jinhong Yuan","doi":"10.1109/TCOMM.2024.3502678","DOIUrl":null,"url":null,"abstract":"Power line communication is a critical component of smart grids, which are vulnerable to eavesdropping. To address this challenge, we investigate a cooperative relay hybrid power line and wireless communication system where multiple eavesdroppers are considered. We propose an elaborate artificial noise (AN)-aided beamforming (BF) scheme to improve physical layer security. Our scheme maximizes the outage-constrained secrecy rate (OCSR) of the legitimate link while restricting the capacity of the eavesdroppers to a reasonable region. However, due to the imperfect channel state information of the wiretap channel and secrecy outage probability constraint, the robust OCSR problem becomes intractable because of the non-concave secrecy objective function and the non-convex constraints. To solve this issue, we utilize semidefinite programming and Bernstein-type inequality to transform the robust OCSR nonconvex problem into two convex sub-problems, which a block-coordinated descent algorithm can solve. Simulation results showcase the effectiveness of our robust AN-aided secure BF scheme and show that the proposed scheme outperforms the benchmark scheme in a security performance gain under various channel conditions, even in the worst case.","PeriodicalId":13041,"journal":{"name":"IEEE Transactions on Communications","volume":"73 6","pages":"3940-3955"},"PeriodicalIF":8.3000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Communications","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10758707/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Power line communication is a critical component of smart grids, which are vulnerable to eavesdropping. To address this challenge, we investigate a cooperative relay hybrid power line and wireless communication system where multiple eavesdroppers are considered. We propose an elaborate artificial noise (AN)-aided beamforming (BF) scheme to improve physical layer security. Our scheme maximizes the outage-constrained secrecy rate (OCSR) of the legitimate link while restricting the capacity of the eavesdroppers to a reasonable region. However, due to the imperfect channel state information of the wiretap channel and secrecy outage probability constraint, the robust OCSR problem becomes intractable because of the non-concave secrecy objective function and the non-convex constraints. To solve this issue, we utilize semidefinite programming and Bernstein-type inequality to transform the robust OCSR nonconvex problem into two convex sub-problems, which a block-coordinated descent algorithm can solve. Simulation results showcase the effectiveness of our robust AN-aided secure BF scheme and show that the proposed scheme outperforms the benchmark scheme in a security performance gain under various channel conditions, even in the worst case.
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
采用人工噪声辅助波束成形的智能电网电力线与无线混合通信的稳健停电受限保密率
电力线通信是智能电网的重要组成部分,容易被窃听。为了解决这一挑战,我们研究了一种考虑多个窃听者的合作中继混合电力线和无线通信系统。我们提出了一种精细的人工噪声辅助波束形成(BF)方案来提高物理层的安全性。该方案将合法链路的中断约束保密率(OCSR)最大化,同时将窃听者的容量限制在一个合理的区域内。然而,由于窃听信道的信道状态信息不完善和保密中断概率约束,由于保密目标函数的非凹性和约束的非凸性,鲁棒OCSR问题变得难以解决。为了解决这一问题,我们利用半定规划和bernstein型不等式将鲁棒OCSR非凸问题转化为两个凸子问题,并用块协调下降算法求解。仿真结果表明了该方案的有效性,并表明该方案在各种信道条件下(即使在最坏的情况下)的安全性能增益都优于基准方案。
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
IEEE Transactions on Communications
IEEE Transactions on Communications 工程技术-电信学
CiteScore
16.10
自引率
8.40%
发文量
528
审稿时长
4.1 months
期刊介绍: The IEEE Transactions on Communications is dedicated to publishing high-quality manuscripts that showcase advancements in the state-of-the-art of telecommunications. Our scope encompasses all aspects of telecommunications, including telephone, telegraphy, facsimile, and television, facilitated by electromagnetic propagation methods such as radio, wire, aerial, underground, coaxial, and submarine cables, as well as waveguides, communication satellites, and lasers. We cover telecommunications in various settings, including marine, aeronautical, space, and fixed station services, addressing topics such as repeaters, radio relaying, signal storage, regeneration, error detection and correction, multiplexing, carrier techniques, communication switching systems, data communications, and communication theory. Join us in advancing the field of telecommunications through groundbreaking research and innovation.
期刊最新文献
A Novel Cross-Entropy Receiver for Random Time-Hopping Covert Satellite Systems Rydberg-Atom-Based Superdirective Receivers: Array Modeling and Performance Analysis Resource Allocation in RIS-assisted Integrated Sensing, Communication, and Computation Network Coarse-to-Fine Doppler Compensation in 6G VLEO: Dual-Head Temporal Convolutional Network Acquisition with CP-Aided Tracking Accelerating Convergence in Ultra-Dense 6G Sensor Networks via Dual Shannon Entropy Control
×
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:604180095
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