This article investigates the offloading performance of an unmanned aerial vehicle (UAV)-aided nonorthogonal multiple access (NOMA) incorporating mobile-edge computing (MEC) with the wireless power transfer (WPT)-enabled in Internet of Things (IoT) networks. To assess the system efficacy, we derive the closed-formed expressions of outage successful computation probability (OSCP) under Nakagami-m fading channel. Subsequently, we formulate a system optimization problem of maximizing OSCP by utilizing particle swarm optimization (PSO) algorithm. Numerical findings are implemented with a variety of parameters, thereby validating the precision of our work.

internet of things, unmanned aerial vehicle, non-orthogonal multiple access, wireless power transfer, radio frequency energy harvesting, mobile edge computing