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Max-Min Fair Beamforing Design for a RIS-Assisted System with SWIPT

Wei, Y; Peng, Z; Tang, J; Zhang, X; Wong, KK; Chambers, J; (2024) Max-Min Fair Beamforing Design for a RIS-Assisted System with SWIPT. IEEE Transactions on Vehicular Technology 10.1109/TVT.2024.3371539. (In press). Green open access

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Abstract

This paper investigates a multiuser reconfigurable intelligent surface (RIS)-assisted simultaneous wireless information and power transfer (SWIPT) system, in which a RIS assists in establishing favorable wireless communication environment. Particularly, we study the max-min signal-to-interference-plus-noise ratio (SINR) problem of the system by joint optimizing the base station (BS) active beamforming vectors, the RIS passive beamforming vector, and the power splitting (PS) ratios while guaranteeing the BS maximum transmit power budget and the minimum harvested energy threshold. The considered max-min SINR problem is highly non-convex, which is arduous to directly solve. Hence, we present an efficient alternating optimization (AO) algorithm to decompose the max-min SINR problem into three tractable subproblems, which are solved in an alternating manner. Particularly, we apply semi-definite relaxation (SDR) technique and the bisection method to tackle the beamforming optimization subproblems, and then derive a closed-form solution to solve the PS ratios optimization subproblem. Numerical simulations verify the superiority of our proposed AO algorithm and demonstrate that deploying RIS can achieve significantly increased min-SINR value.

Type: Article
Title: Max-Min Fair Beamforing Design for a RIS-Assisted System with SWIPT
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TVT.2024.3371539
Publisher version: http://dx.doi.org/10.1109/tvt.2024.3371539
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Array signal processing , Interference , Vectors , Signal to noise ratio , Simultaneous wireless information and power transfer , Minimax techniques , Optimization
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10189917
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