This paper investigates unmanned aerial vehicle (UAV) and nonorthogonal multiple access (NOMA)-mobile-edge computing (MEC) in the Internet of Things (IoT) network, where a UAV acts as a relay. To evaluate offloading performance, we derived closed-form formulas for the successful computation probability (SCP) using the Nakagami-m fading channel model. Furthermore, we also propose an optimization problem to maximize SCP by optimizing the UAV deployment location using the genetic algorithm (GA) method. Finally, numerical results are presented to demonstrate the validity of our analysis.

unmanned aerial vehicle, nonorthogonal multiple access, mobile-edge computing, Internet of Things