Fractional Programming Based Optimization Techniques for RIS-Assisted SWIPT-IoT System

IF 3.7 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2024-10-15 DOI:10.1109/LCOMM.2024.3481289

Neha Sharma;Sumit Gautam;Symeon Chatzinotas;Björn Ottersten

引用次数: 0

Abstract

This letter addresses two distinctly poised objectives, i.e., data rate and energy harvesting (EH) in Simultaneous Wireless Information and Power Transfer (SWIPT) systems with Reconfigurable Intelligent Surface (RIS) by tackling a weighted objective to maximize data rate, EH, and transmit power utilization for multi-antenna BS and multiple RIS-User scenarios. This approach optimizes power splitting (PS) ratio at the end-user and transmit power using an optimized practical phase-dependent amplitude model for each RIS element reflectivity. Fractional programming-based Dinkelbach and Quadratic transform-related algorithms are proposed and compared with Karush-Kuhn-Tucker (KKT) conditions based solutions. Optimized discrete phase shift (DPS) level has been sought. Numerical results show that deploying more RIS elements and placing them closer together enhances both information rate and EH, whereas it nearly saturates with increasing DPS levels.

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.