Optimal power allocation for secure directional modulation networks with a full-duplex UAV user

查看全文 作　　者：Zaoyu [1]LU;Linlin [1]SUN;Shuo [2]ZHANG;Xiaobo [1]ZHOU;Jinyong [2]LIN;Wenlong [2]CAI;Jin [1]WANG;Jinhui [1]LU;Feng [1]SHU

机构地区：[1]School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;[2]Beijing Aerospace Automatic Control Institute, Beijing 100854, China

出　　处：《Science China(Information Sciences)》索引2019年第62卷第8期,共12页

基　　金：supported in part by National Natural Science Foundation of China (Grant Nos. 61771244, 61501238, 61702258, 61472190, 61801453, 61271230);by Open Research Fund of National Key Laboratory of Electromagnetic Environment, China Research Institute of Radiowave Propagation (Grant No. 201500013);by Jiangsu Provincial Science Foundation (Grant No. BK20150786);by Specially Appointed Professor Program in Jiangsu Province, 2015;by Fundamental Research Funds for the Central Universities (Grant No. 30916011205);by Open Research Fund of National Mobile Communications Research Laboratory, Southeast University, China (Grant Nos. 2017D04, 2013D02) 摘　　要：This paper makes an investigation of a secure unmanned aerial vehicle(UAV)-aided communication network based on directional modulation(DM). In this network, ground base station(GBS) acts as a control center to transmit confidential message and artificial noise(AN). The UAV user, moving along a linear flight trajectory, is intended to receive the useful information from GBS. At the same time, it also sends AN signals to further interference eavesdropper’s channel. Aiming at maximizing secrecy rate during the UAV flight process, a joint optimization problem is formulated with respect to power allocation(PA)factors, beamforming vector and AN projection matrices. For simplicity, maximum rate transmission, nullspace projection and the leakage-based method are applied to form the transmit beamforming vector, AN projection matrix at GBS, and AN projection vector at UAV user, respectively. Following this, the optimization problem reduces to a bivariate optimization programme with two PA factors. An alternating iterative algorithm(AIA) is proposed to optimize the two PA factors. Simulation results demonstrate that, compared to the half-duplex(HD) mode, the proposed strategy for full-duplex(FD) mode achieves a higher secrecy rate(SR) and outperforms the FD mode with fixed PA strategy. 关键词：UAV directional MODULATION SECRECY rate artificial noise full-duplex power ALLOCATION

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Optimal power allocation for secure directional modulation networks with a full-duplex UAV user

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