A SDR-Based Approach for Efficient Simultaneous Wireless Information Power Transfer with Active IRS Assistance
摘要
This paper presents a novel approach to enhance simultaneous wireless information and power transfer (SWIPT) using an active intelligent reflecting surface (IRS), aimed at optimizing spectral efficiency under energy harvesting constraints. Specifically, an active IRS equipped with amplifying/reflecting elements is adopted to facilitate the transmitter’s simultaneous information and energy transmission to multiple power-splitting receivers, with the objective of maximizing the sum rate under power constraints. To address this, we develop a joint optimization framework using semidefinite relaxation (SDR) and successive convex approximation (SCA) that optimize the beamforming vectors and power-splitting ratios under the special case of fixed IRS amplification factors, phase shifts. Finally, simulation results demonstrate that the proposed solution algorithm converges and obtains the high sum rate results for the considered active IRS-aided SWIPT system.