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Enhancing user fairness in wireless powered communication networks with STAR-RIS

  • Guangyu Zhu
  • , Xidong Mu
  • , Li Guo
  • , Ao Huang
  • , Shibiao Xu

Research output: Contribution to journalArticlepeer-review

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Abstract

A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted wireless powered communication network (WPCN) is proposed, where two energy-limited devices first harvest energy from a hybrid access point (HAP) and then use that energy to transmit information back. To fully eliminate the doubly-near-far effect in WPCNs, two STAR-RIS operating protocol-driven transmission strategies, namely energy splitting non-orthogonal multiple access (ESNOMA) and time switching time division multiple access (TSTDMA) are proposed. For each strategy, the corresponding optimization problem is formulated to maximize the minimum throughput by jointly optimizing time allocation, user transmit power, active HAP beamforming, and passive STAR-RIS beamforming. For ES-NOMA, the resulting intractable problem is solved via a two-layer algorithm, which exploits the one-dimensional search and block coordinate descent methods in an iterative manner. For TS-TDMA, the optimal active beamforming and passive beamforming are first determined according to the maximum-ratio transmission beamformer. Then, the optimal solution of the time allocation variables is obtained by solving a standard convex problem. Numerical results show that: 1) the STAR-RIS can achieve considerable performance improvements for both strategies compared to the conventional RIS; 2) TSTDMA is preferred for single-antenna scenarios, whereas ESNOMA is better suited for multi-antenna scenarios; and 3) the superiority of ES-NOMA over TS-TDMA is enhanced as the number of STAR-RIS elements increases.
Original languageEnglish
Pages (from-to)2659 - 2673
JournalIEEE Internet of Things Journal
Volume12
Issue number3
Early online date07 Oct 2024
DOIs
Publication statusPublished - 01 Feb 2025

Publications and Copyright Policy

This work is licensed under Queen’s Research Publications and Copyright Policy.

Keywords

  • Wireless Powered Communication Networks
  • STAR-RIS
  • reconfigurable intelligent surface (
  • WPCNs

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