Offloading Analysis of UAV-assisted NOMA-MEC in IoT Network with SC/MRC

In this paper, we study an unmanned aerial vehicle (UAV) equipped with multiple antennas, integrating non-orthogonal multiple access (NOMA) and mobile edge computing (MEC), with the task of compute support for IoT devices (IDs). Therefore, we propose a three-phase process to ensure NOMA-based task transfer. We calculate and find the best scheme for the system, we suggest using the selection combination (SC) or maximum ratio combination (MRC) scheme. We derive closed-form formulas to calculate the successful computation probability (SCP) according to the fading Nakagami-m channel model to evaluate the system’s effectiveness. The results provide insight into system performance based on parameters such as number of antennas, number of IDs, UAV height, and transmit power distribution.