Secure Computation Offloading, Resource Allocation, and UAV Trajectory Control in UAV-based Wireless Networks with Cooperative Jamming

In this paper, we investigate unmanned aerial vehicle (UAV) wireless networks with cooperative jamming under the consideration of edge computation offloading in the presence of a ground eavesdropping user. In particular, we perform a joint optimization design of user scheduling, partial computation offloading, UAV trajectory control, and computation resource allocation with an objective of maximizing the minimum secrecy rate among ground users. To tackle the underlying non-convex mixed integer non-linear optimization problem, we use the alternating optimization approach to iteratively solve five sub-problems, namely, user scheduling, partial offloading control, bit allocation over time slots, computation resource and bandwidth allocation, and UAV trajectory control until convergence. Moreover, the successive convex approximation method is employed to solve the non-convex sub-problems and improve the resilience of the system against an eavesdropping user. Numerical results demonstrate the effectiveness of our proposed design compared to baseline approaches, achieving a 48.36% improvement in the max-min secrecy rate.