Bi-objective Optimization of Information Rate and Harvested Power in RIS-aided SWIPT Systems

TL;DR

This paper proposes a joint optimization framework for maximizing information rate and harvested power in RIS-assisted SWIPT systems, introducing a practical algorithm that improves system performance.

Contribution

It introduces a novel joint optimization approach for beamforming, RIS reflection, and power splitting in RIS-aided SWIPT networks with a practical algorithm.

Findings

RIS deployment significantly enhances information rate.

RIS improves harvested power levels.

The proposed algorithm outperforms existing methods.

Abstract

The problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output downlink wireless network with simultaneous wireless information and power transfer (SWIPT) is addressed. The beamforming vectors, RIS reflection coefficients, and power split ratios are jointly optimized subject to maximum power constraints, minimum harvested power constraints, and realistic constraints on the RIS reflection coefficients. A practical algorithm is developed through an interplay of alternating optimization, sequential optimization, and pricing-based methods. Numerical results show that the deployment of RISs can significantly improve the information rate and the amount of harvested power.