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| Title | Sum-Throughput Maximization In An Irs-Enhanced Multi-Cell Noma Wireless-Powered Communication Network |
|---|---|
| ID_Doc | 53604 |
| Authors | Liang J.; Mo Y.; Li X.; He C. |
| Year | 2025 |
| Published | Symmetry, 17, 3 |
| DOI | http://dx.doi.org/10.3390/sym17030413 |
| Abstract | A wireless-powered communication network (WPCN) provides sustainable power solutions for energy-intensive Internet of Things (IoT) devices in remote or inaccessible locations. This technology is particularly beneficial for applications in smart transportation and smart cities. Nevertheless, WPCN experiences performance degradation due to severe path loss and inefficient long-range energy and information transmission. To address the limitation, this paper investigates an intelligent reflecting surface (IRS)-enhanced multi-cell WPCN integrated with non-orthogonal multiple access (NOMA). The emerging IRS technology mitigates propagation losses through precise phase shift adjustments with symmetric reflective components. Asymmetric resource utilization in symmetric downlink and uplink transmissions is crucial for optimal throughput and quality of service. Alternative iterations are employed to optimize time allocation and IRS phase shifts in both downlink and uplink transmissions. This approach allows for the attainment of maximum sum throughput. Specifically, the phase shifts are optimized using two algorithms called semidefinite relaxation (SDR) and block coordinate descent (BCD). Our simulations reveal that integrating the IRS into multi-cell NOMA-WPCN enhances user throughput. This surpasses the performance of traditional multi-cell WPCN. In addition, the coordinated deployment of multiple hybrid access points (HAPs) and IRS equipment can expand communications coverage and network capacity. © 2025 by the authors. |
| Author Keywords | intelligent reflection surface (IRS); max-sum throughput optimization; multi-cell WPCN; non-orthogonal multiple access (NOMA); wireless-powered communication network (WPCN) |
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