Secure Task Offloading Design for UAV- Enabled NOMA Mobile Edge Computing Networks

In recent years, the integration of non-orthogonal multiple access (NOMA) with mobile edge computing (MEC) networks to facilitate unmanned aerial vehicles (UAV s) has become a highly captivating topic of global research. Although proven effective in many applications, UAV-based systems pose a potential risk of eavesdropping in wireless communication conditions. Therefore, this study investigates an offload model that ensures security in the multiple antennas NOMA MEC UAV network over the Rayleigh fading channel. The system consists of one UAV (U) user, two MEC servers at two wireless access points (APs), and one eavesdropping (E) device. The UAV intends to offload the computational load on APs, while the E can eavesdrop on AP information in low-trust areas. Accordingly, a novel latency-security offloading protocol is proposed for the system. We derive the closed-form expression for the system's secrecy successful computation probability (SSCP). To verify the mathematical analysis results, we used Monte-Carlo simulation with critical system parameters such as average transmit SNR, task division ratio, power allocation coefficient, number of antennas at APs, height of UAV, and secure data rate threshold.