Bi-Objective Optimization of Information Rate and Harvested Power in RIS-Aided SWIPT Systems

• Published in: IEEE wireless communications letters Vol. 11; no. 10; pp. 2195 - 2199
• Main Authors: Mohamed, Abdelhamed, Zappone, A., Di Renzo, Marco
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); IEEE comsoc
• Subjects: Algorithms; Beamforming; Downlink; Energy harvesting; Engineering Sciences; Information rates; Maximum power; multi-objective optimization; Numerical methods; Optimization; Power transfer; Receivers; Reflection coefficient; RIS; Signal and Image processing; Simultaneous wireless information and power transfer; SWIPT; Wireless networks; RIS; SWIPT; multi-objective optimization
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2022.3196906

The problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output downlink multiuser 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 jointly improves the information rate and the amount of harvested power.