Robust secure transmission for multiuser MISO systems with probabilistic QoS constraints  

作　　者：Lijian ZHANG Liang JIN Wenyu LUO Chunming WANG Yanqun TANG 

机构地区：[1]National Digital Switching System Engineering & Technological Research Center, Zhengzhou 450002, China [2]School of Information Systems Engineering , Zhengzhou Information Science and Technology Institute, Zhengzhou 450001, China

出　　处：《Science China(Information Sciences)》2016年第2期122-134,共13页中国科学（信息科学）（英文版）

基　　金：supported in part by National Natural Science Foundation of China(Grant Nos.61171108;61401510;61379006);National High-tech R&D Program of China(863)(Grant No.SS2015AA011306)

摘　　要：This paper considers a unicast multiuser multiple-input single-output（MISO） downlink system overheard by multiple single-antenna eavesdroppers. The objective is to jointly design the beamforming vectors and the artificial noise（AN） covariance matrix with imperfect channel state information（CSI） at the transmitter,such that the total transmit power is minimized while satisfying probabilistic quality of service（Qo S） constraints at legitimate users and the eavesdroppers. Using Bernstein-type inequalities and the S-procedure, we recast the non-convex power minimization problem as two different convex semidefinite programs（SDPs） which can be solved using interior-point methods. Simulation results show that the proposed methods outperform a nonrobust method and the ones using the isotropic AN.This paper considers a unicast multiuser multiple-input single-output（MISO） downlink system overheard by multiple single-antenna eavesdroppers. The objective is to jointly design the beamforming vectors and the artificial noise（AN） covariance matrix with imperfect channel state information（CSI） at the transmitter,such that the total transmit power is minimized while satisfying probabilistic quality of service（Qo S） constraints at legitimate users and the eavesdroppers. Using Bernstein-type inequalities and the S-procedure, we recast the non-convex power minimization problem as two different convex semidefinite programs（SDPs） which can be solved using interior-point methods. Simulation results show that the proposed methods outperform a nonrobust method and the ones using the isotropic AN.

关 键 词：physical layer security artificial noise imperfect CSI robust beamforming semidefinite program outage probability 

分 类 号：TN919.3[电子电信—通信与信息系统]