Paper Details
Abstract
The study investigates the performance of an unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) network that supports edge devices (EDs) through non orthogonal multiple access (NOMA) and non-linear energy harvesting (EH). Specifically, two clusters of EDs harvest energy from a dedicated power beacon (PB) and offload computation tasks to an UAV-equipped MEC server using a four-phase transmission protocol. Unlike conventional linear EH models, a practical nonlinear EH model is adopted to better reflect real-world energy conversion efficiency. Closed-form expressions for the successful computation probability (SCP) are derived under Nakagami-m fading channels, providing theoretical insights into the impact of various system parameters. Extensive Monte Carlo simulations are conducted to validate the analytical results and examine the effects of UAV’s position, time switching ratio (TSR), power allocation ratio, and the number of EDs.