Secure Enhancement in NOMA-based UAV-MEC Networks

Non-orthogonal multiple access (NOMA) based unmanned aerial vehicle and mobile edge computing (UAV-MEC) networks become a prospective scheme to effectively handle the burst of data for multiple users. However, due to the sensitivity of data privacy and the line-of-sight (LoS) characteristics of UAV, the secure communication of the NOMA-based UAV-MEC network is worth studying. In this paper, we propose a novel scheme to enhance the secure computing capacity performance of the NOMA-based UAV-MEC network. With the requirements of the minimum secure computing tasks of terminal users (TUs), we maximize the secure computing capacity of the network via jointly optimizing UAV trajectory and resources allocation, which include channel relationship coefficient, CPU computing frequency and local computation through applying block coordinate descent (BCD) and successive convex approximation (SCA). Numerical results show that the secure computing performance of our proposed secure scheme is significantly better than the benchmarks.