UAV-aided uplink NOMA based on MEC in IoT networks: Secrecy offloading and Optimization

This paper studied unmanned aerial vehicle (UAV)-aided uplink nonorthogonal multiple access (NOMA)-based mobile-edge computing (MEC) in Internet of Things (IoT) systems. Specifically, two resource-constrained edge device (ED) clusters want to offload their tasks for a UAV equipped with a MEC server in the presence of a passive eavesdropper. We derive the expression of secrecy successful computation probability (SSCP) for the system to evaluate its secrecy performance. In addition, we present an optimization problem formulation that optimizes the SSCP by establishing optimal values for UAV’s location and altitude. An approach based on particle swarm optimization (PSO) was used to solve the problem. The precision of our study conducted with diverse parameters, involving the average transmit signal-to-noise ratio (SNR), the number of EDs in each cluster, and the location and altitude of the UAV, was finally confirmed by the Monte Carlo simulation results.