Joint Pilot Design and Beamforming Optimization in Massive MIMO Surveillance Systems
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影响因子：3.1
所属单位：School of Computer Science and Information Engineering, Hefei University of Technology
发表刊物：China Communications
项目来源：the National Natural Science Foundation of China under Grants 61971176 and 61901156; Anhui Provin
关键字：proactive eavesdropping, massive MIMO, channel estimation, pilot contamination, beamforming
摘要：This paper proposes a novel joint channel estimation and beamforming scheme for the massive multiple-input-multiple-output (MIMO) frequency-division duplexing (FDD) wireless legitimate surveillance system. With the proposed scheme, the monitor with the full duplex capability realizes the proactive eavesdropping of the suspicious link by leveraging the pilot attack approach. Specifically, exploiting the effective eavesdropping rate and the mean square error as performance metrics and setting a total power budget at the training and transmission phases, while guaranteeing the information from suspicious source can be successfully decode, joint pilot design, power allocation and beamforming strategy are formulated as optimization problems for the two objective functions: MSE and effective eavesdropping rate. A closed-form expression of the optimal pilot with the limited length can be obtained via the channel correlation. The optimal power problem at the training phase can be solved by a simple bisection method. Then, based on the obtained imperfect estimated channel, the jamming beamforming at monitor optimization algorithm is proposed by utilizing the convex Semidefinite Programming approach to maximize the effective eavesdropping rate. Numerical results show that the proposed joint pilot design, power allocation and beamforming optimization scheme can improve the surveillance performance of the legitimate monitor as compared to the existing passive eavesdropping and jamming-assisted eavesdropping.
合写作者：Xiangru Zhang,Xinyue Hu
第一作者：Caihong Kai
论文类型：期刊论文
通讯作者：Wei Huang
学科门类：工学
文献类型：J
卷号：19
期号：4
页面范围：83-97
ISSN号：1673-5447
是否译文：否
发表时间：2022-04-25
收录刊物：SCI、EI