Abstract
Intelligent reflecting surface (IRS) enhanced transmission has been considered as a promising technology to address the physical layer security issue. In this paper, we study the security issues of an IRS-aided millimeter-wave (mmWave) simultaneous wireless information and power transfer (SWIPT) system. When the full channel state information (CSI) of the eavesdropper is unknown, our goal is to maximize the power of artificial noise (AN) to jam the eavesdropper under transmit power and energy-harvesting (EH) constraints by optimizing the beamforming matrix at the access point (AP) and IRS. To solve the non-convex optimization problem, we propose an alternating optimization algorithm to effectively improve the secrecy rate. In particular, based on the manifold optimization the phase shifts at the IRS is obtained, and then propose a sequential convex approximation (SCA)-based algorithm to optimize the transmit beamforming at the AP. Simulation results show that, the secrecy rate of system increase with the increase of the transmit power, and is much higher than that of the SWIPT system without IRS.
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