Multi-Objective Resource Allocation for IRS-Aided SWIPT

Abstract

In this letter, we study the resource allocation for a multiuser intelligent reflecting surface (IRS)-aided simultaneous wireless information and power transfer (SWIPT) system. Specifically, a multi-antenna base station (BS) transmits energy and information signals simultaneously to multiple energy harvesting receivers (EHRs) and information decoding receivers (IDRs) assisted by an IRS. Under this setup, we introduce a multi-objective optimization (MOOP) framework to investigate the fundamental trade-off between the data sum-rate maximization and the total harvested energy maximization, by jointly optimizing the energy/information beamforming vectors at the BS and the phase shifts at the IRS. This MOOP problem is first converted to a single-objective optimization problem (SOOP) via the $\epsilon$-constraint method and then solved by majorization minimization (MM) and inner approximation (IA) techniques. Simulation results unveil a non-trivial trade-off between the considered competing objectives, as well as the superior performance of the proposed scheme as compared to various baseline schemes.

Accepted by IEEE Wireless Communications Letters

References in corpus (4)

• Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer
• MISO Wireless Communication Systems via Intelligent Reflecting Surfaces
• Joint User Association and Resource Allocation in the Uplink of Heterogeneous Networks
• IRS-Assisted Green Communication Systems: Provable Convergence and Robust Optimization