Exploiting Active-IRS by Maximizing Throughput in Wireless Powered Communication Networks

Abstract

Wireless powered communication networks (WPCNs) are a promising technology for low-power wireless communication. Intelligent reflecting surfaces (IRSs) have recently emerged as a potential solution for enhancing the performance of WPCNs. This paper presents a comparative study of active IRSs with passive IRSs for maximizing the throughput in WPCNs. We propose an alternating optimization (AO)-based a near-optimal solution for maximizing the throughput in WPCNs by exploiting the active capabilities of the IRS. Our proposed algorithm is based on a joint optimization of the time allocation and the reflection coefficients and phase shift matrices of the active IRS. We evaluate the performance of the proposed algorithm and compare it with a passive IRS-assisted system. Simulation results demonstrate that the proposed algorithm achieves a higher throughput compared to the passive IRS-assisted system. Our findings highlight the potential of active IRSs for enhancing the performance of WPCNs and provide insights into the design of efficient and reliable wireless communication systems.