Joint Pilot Design and Beamforming Optimization in Massive MIMO Surveillance Systems  

作　　者：Caihong Kai Xiangru Zhang Xinyue Hu Wei Huang 

机构地区：[1]School of Computer Science and Information Engineering,Hefei University of Technology,Hefei 230601,China [2]Intelligent Interconnected Systems Laboratory of Anhui Province,Hefei University of Technology,Hefei 230601,China [3]School of Electronics and Information Engineering,Anhui University,Hefei 230601,China

出　　处：《China Communications》2022年第4期83-97,共15页中国通信（英文版）

基　　金：supported in part by the National Natural Science Foundation of China under Grants 61971176 and 61901156;in part by the Anhui Provincial Natural Science Foundation under Grant 2008085QF281;in part by the Fundamental Research Fund for the Central Universities of China under Grant JZ2021HGTB0081。

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.

关 键 词：proactive eavesdropping massive MIMO channel estimation pilot contamination beamforming 

分 类 号：TN929.5[电子电信—通信与信息系统]