Robust Design for Intelligent Reflecting Surface-Assisted Secrecy SWIPT Network

This paper investigates the robust beamforming design in a secrecy multiple-input single-output (MISO) network aided by intelligent reflecting surface (IRS) with simultaneous wireless information and power transfer (SWIPT). Specifically, considering that energy receivers (ERs) are potential eavesdroppers (Eves) imperfect channel state (CSI) of direct cascaded channels can be obtained, we investigate max-min fairness design. The objective is to maximize minimum rate among legitimate (IRs). To solve formulated non-convex problem bounded probabilistic CSI error models, utilize alternating optimization (AO) successive convex approximation (SCA) methods obtain an approximate problem. Then, iteration-based algorithm framework was proposed, where unit modulus constraint (UMC) IRS handled penalty dual decomposition (PDD) method. Moreover, stochastic SCA method proposed handle outage constrained statistical CSI. Finally, simulation results validate promising performance