MU-MIMO系统中同时主动窃听和通信的联合波束形成

IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS
Yongjin Jing;Fengchao Zhu;Jiacheng Liao;Lei Pan
{"title":"MU-MIMO系统中同时主动窃听和通信的联合波束形成","authors":"Yongjin Jing;Fengchao Zhu;Jiacheng Liao;Lei Pan","doi":"10.1109/LCOMM.2025.3577758","DOIUrl":null,"url":null,"abstract":"In this letter, we design joint communication and artificial jamming beamforming to guarantee both downlink multi-user (MU) communication and proactive eavesdropping for a full-duplex base-station (FD-BS). Specifically, we aim to maximize the weighted sum-rate (WSR) of legitimate communication users (CUs) under the total power budget constraint and successful eavesdropping constraint. The equivalence between the weighted mean squared error (MSE) minimization problem and the original non-convex WSR maximization problem is strictly proved. First-order Taylor approximation is applied to relax the non-convex constraint. Then an alternating optimization framework based on block coordinate descent (BCD) algorithm is proposed to solve the weighted MSE minimization problem iteratively. Simulation results are provided to illustrate the effectiveness of the proposed beamforming design.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 8","pages":"1859-1863"},"PeriodicalIF":4.4000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Beamforming for Simultaneous Proactive Eavesdropping and Communication in MU-MIMO Systems\",\"authors\":\"Yongjin Jing;Fengchao Zhu;Jiacheng Liao;Lei Pan\",\"doi\":\"10.1109/LCOMM.2025.3577758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this letter, we design joint communication and artificial jamming beamforming to guarantee both downlink multi-user (MU) communication and proactive eavesdropping for a full-duplex base-station (FD-BS). Specifically, we aim to maximize the weighted sum-rate (WSR) of legitimate communication users (CUs) under the total power budget constraint and successful eavesdropping constraint. The equivalence between the weighted mean squared error (MSE) minimization problem and the original non-convex WSR maximization problem is strictly proved. First-order Taylor approximation is applied to relax the non-convex constraint. Then an alternating optimization framework based on block coordinate descent (BCD) algorithm is proposed to solve the weighted MSE minimization problem iteratively. Simulation results are provided to illustrate the effectiveness of the proposed beamforming design.\",\"PeriodicalId\":13197,\"journal\":{\"name\":\"IEEE Communications Letters\",\"volume\":\"29 8\",\"pages\":\"1859-1863\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Communications Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11028585/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11028585/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们设计了联合通信和人工干扰波束形成,以保证全双工基站(FD-BS)的下行多用户(MU)通信和主动窃听。具体而言,我们的目标是在总功率预算约束和成功窃听约束下最大化合法通信用户的加权和速率(WSR)。严格证明了加权均方误差(MSE)最小化问题与原非凸WSR最大化问题之间的等价性。采用一阶泰勒近似松弛非凸约束。然后提出了一种基于块坐标下降(BCD)算法的交替优化框架,迭代求解加权均方差最小化问题。仿真结果验证了所提波束形成设计的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Beamforming for Simultaneous Proactive Eavesdropping and Communication in MU-MIMO Systems
In this letter, we design joint communication and artificial jamming beamforming to guarantee both downlink multi-user (MU) communication and proactive eavesdropping for a full-duplex base-station (FD-BS). Specifically, we aim to maximize the weighted sum-rate (WSR) of legitimate communication users (CUs) under the total power budget constraint and successful eavesdropping constraint. The equivalence between the weighted mean squared error (MSE) minimization problem and the original non-convex WSR maximization problem is strictly proved. First-order Taylor approximation is applied to relax the non-convex constraint. Then an alternating optimization framework based on block coordinate descent (BCD) algorithm is proposed to solve the weighted MSE minimization problem iteratively. Simulation results are provided to illustrate the effectiveness of the proposed beamforming design.
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
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication 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
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