Abstract
AbstractIntelligent reflecting surfaces (IRS), which dynamically modify the incident electromagnetic wave propagation characteristics, are appealing as a potential candidate to improve the spectral and energy efficiency of future wireless communication networks. In this paper, we investigate the performance of an IRS‐enabled wireless powered communication network (WPCN), which consists of a dedicated power source (PS), an energy‐constrained wireless device (WD), and a data access point (DAP). Due to energy limitations, WD first performs energy harvesting (EH) operation through the radio‐frequency (RF) signal supplied by the PS and then uses this energy to transmit its information to DAP. In this system setup, an IRS module is employed at both PS and DAP, respectively, in order to enhance the wireless energy transfer and wireless information transfer efficiency. For the underlying system model, we develop a unified performance evaluation framework with regard to outage probability, average throughput, effective throughput, and average, by assuming a generalized fading channels. In addition, we also present an asymptotic analysis, under a high signal‐to‐noise ratio assumption, which helps us to understand the system behavior deeply. Furthermore, an optimal EH time duration is developed for the proposed model to achieve maximum system throughput. The numerical simulation results demonstrate that the IRS‐enabled wireless transmission mechanisms for the WPCN system help to boost the overall performance significantly compared to conventional WPCN networks. All the derived numerical results are verified with Monte‐Carlo simulation results.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call