Secrecy Performance Analysis of RF Energy Harvesting UAV-Enabled NOMA MEC System Under Eavesdropping Scenario

This paper investigates a radio frequency (RF) energy harvesting (EH) non-orthogonal multiple access (NOMA)-aided mobile edge computing (MEC) network with one legitimate unmanned aerial vehicle (UAV), one eavesdropping UAV and dual computing access points (APs), in which NOMA technology is applied to transmit workload data streams to APs for computing. Besides, an AP, known as a hybrid AP (HAP), supports a radio power supply service for UAV. To measure the performance of the considered NOMA-aided MEC UAV network, we first developed the four-phase system protocol to ensure delay and security capabilities. Accordingly, we analyze system performance using the secrecy successful computation probability (SSCP) metric. Finally, we conduct experiments to demonstrate the effectiveness of the proposed system and compare our numerical results with Monte-Carlo simulations, finding excellent agreement.