文献类型：期刊文献

英文题名：Robust Secure Beamforming for Multi-Receiver Multi-Eavesdropper MIMO SWIPT Systems

作者：Yu, Yao[1]; Liu, Shumei[2]; Yuan, Weina[3]; Yeoh, Phee Lep[1]; Vucetic, Branka[1]; Li, Yonghui[1]

机构：[1] School of Electrical and Information Engineering, University of Sydney, Australia; [2] Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110819, China; [3] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2020

卷号：2020-January

外文期刊名：Proceedings - IEEE Global Communications Conference, GLOBECOM

收录：EI(收录号：20210909979056)

语种：英文

外文关键词：Beamforming - Covariance matrix - Energy efficiency - Energy harvesting - Energy transfer - Feedback control - MIMO systems - Network layers - Optimization - Telecommunication repeaters - Transmissions

摘要：In this paper, we consider a multiuser multiple-input multiple-output (MIMO) downlink communication system with simultaneous wireless information and power transfer (SWIPT). In particular, we focus on a realistic and efficient multi-receiver multi-eavesdropper MIMO SWIPT system, in which the channel state information (CSI) of each legitimate receiver and energy receiver (i.e., potential eavesdropper) is partially known to the transmitter. Based on this, we propose a robust artificial noise (AN)-aided secure transmission scheme for the system, where the channel uncertainties are modeled by the worst-case model. In the proposed scheme, we aim to maximize the worst-case achievable secrecy rate under the transmit power constraint and the energy harvesting (EH) constraint, by jointly optimizing the transmit precoding matrix and the AN covariance matrix. We utilize the S-Procedure and Taylor series approximation to transform the non-convex problem. Then, we apply the interior point method to tackle the transformed convex problem, obtaining the approximate optimal matrices and the corresponding maximum worst-case secrecy rate. Simulation results show that our proposed scheme achieves significant performance improvements in terms of convergence and the worst-case achievable secrecy rate. ? 2020 IEEE.