Optimal AAV 3D Trajectory Design and Resource Allocation for Secure Mobile Edge Computing

In this paper, we consider a secure mobile edge computing (MEC) in both uplink and downlink communication with the help of autonomous aerial vehicle (AAV), whereby offloading for terrestrial users (TUs) is performed at AAV equipped with an MEC server by secure communication between multiple TUs and AAV in the presence of multiple eavesdroppers (Eves). In order to establish a secure communication link, we propose the joint optimal design of 3D AAV trajectory and resource allocation with the aim of minimizing total user energy consumption (UEC) under the AAV constraints including the limited energy budget, computation resources, and mobility. Especially, for 3D AAV trajectory, Rician fading is considered by including the vertical domain of AAV leading to higher AAV flight freedom. To tackle the optimization problem, the proposed algorithmic solutions leverage iterative algorithms for AAV trajectory, offloading data, and both uplink and downlink transmit power. Via numerical results, it is shown that the proposed joint design significantly outperforms the conventional scheme with a separate design.