Unmanned aerial vehicle (UAV) has been considered as a widespread technical solution in recent years to meet the explosive data and massive device connections demands. On the other hand, Backscatter communication (BackComm) also equally evolved as a potential candidate to realize future Internet-of-Things (IoT) networks. By deploying BackComm in UAV-enabled IoT system allows an efficient utilization of the network resources, especially, in remote areas and smart cities. In this paper, we investigate the performance of a UAVassisted multi-node BackComm network over generalized − shadowed fading channel. Closed-form expressions are derived to study the system performance through outage probability and average BER. Additionally, we obtain a simplified asymptotic expression in a high SNR regime, from which we gain insight into how the channel and system parameters affect the overall performance. Finally, simulation results are provided to validate the derived theoretical results.
Intelligent 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 κprefix−μ$$ \kappa -\mu $$ 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.
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