Max-min fair harvested energy based beamforming designs for MISO SWIPT secrecy system

We investigate beamfoming design in a multiple-input-single-output (MISO) secrecy system with simultaneous wireless information and power transfer (SWIPT). Our aim is to maximize the minimum harvested energy among multiple energy harvesting (EH) receiver subject to the secrecy rate constraint and the total transmit power constraint. In order to avoid the performance loss resulted from the rank relaxation, we propose a novel iterative method to obtain the near-optimal beamforming vector. Considering the perfect channel statement information (CSI) scenario, we propose a successive convex approximation (SCA) iterative algorithm based on Taylor series approximation. Simulation results are provided to validate the performance of the proposed algorithm.