Enhanced Secure Wireless Information and Power Transfer via Intelligent Reflecting Surface

• Published in: IEEE communications letters Vol. 25; no. 4; pp. 1084 - 1088
• Main Authors: Shi, Weiping, Zhou, Xiaobo, Jia, Linqiong, Wu, Yongpeng, Shu, Feng, Wang, Jiangzhou
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Approximation; Array signal processing; Beamforming; Communication system security; Complexity; Computational complexity; Convexity; Energy harvesting; harvested power; Intelligent reflecting surface; Linear programming; MISO communication; Optimization; phase shifts; Power transfer; Reconfigurable intelligent surfaces; secrecy rate; secure transmit beamforming; Wireless communication
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2020.3043475

In this letter, an intelligent reflecting surface (IRS)-aided secure wireless information and power transfer system is studied. To maximize the harvested power of energy harvesting receiver (EHR), we optimize the secure transmit beamforming at the access point (AP) and phase shifts at the IRS subject to the secrecy rate (SR) and the reflecting phase shifts at the IRS constraints. Due to the non-convexity of optimization problem and coupled optimization variables, we convert the optimization problem into a semidefinite relaxation (SDR) problem and a sub-optimal solution is obtained. To reduce the high-complexity of the proposed SDR method, a low-complexity alternating optimization (LC-AO) algorithm is proposed. Simulation results show that the harvested power of the proposed SDR and LC-AO methods approximately double that of the existing method without IRS with the same SR. In particular, the proposed LC-AO achieves almost the same performance as the proposed SDR but with a much lower complexity.