Enhancing User Fairness in Wireless Powered Communication Networks With STAR-RIS
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 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">doubly-near-far</i>-effect in WPCNs, two STAR-RIS operating protocol-driven transmission strategies, namely energy splitting nonorthogonal multiple access (ES-NOMA) and time switching time division multiple access (TS-TDMA) 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 1-D 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) TS-TDMA is preferred for single-antenna scenarios, whereas ES-NOMA is better suited for multiantenna scenarios; and 3) the superiority of ES-NOMA over TS-TDMA is enhanced as the number of STAR-RIS elements increases.
Authors
- Shibiao Xu (ORCID: https://orcid.org/0000-0003-4037-9900)
- Ao Huang (ORCID: https://orcid.org/0000-0001-9299-197X)
- Guangyu Zhu (ORCID: https://orcid.org/0009-0000-1772-9234)
- Xidong Mu (ORCID: https://orcid.org/0000-0001-8351-360X)
- Li Guo (ORCID: https://orcid.org/0000-0002-9723-3294)
Institutions
- Queen's University Belfast (GB)
- Beijing University of Posts and Telecommunications (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1109/jiot.2024.3475215
- Citations
- 9
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 1.88