Offloading Performance for UAV-aided NOMA-MEC with WPT-enabled for IoT Networks

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.