A Joint Trajectory Design, Offloading and Resource Allocation Scheme in a Multi-UAV-assisted MEC System

With the rapid development of Internet of Things (IoT) technology, mobile edge computing (MEC) has been widely used in various fields because of its low computing latency and strong processing capabilities. At present, the unmanned aerial vehicle (UAV)-assisted MEC system is a hot research topic. However, the joint air-to-ground computation in multi-UAV scenarios is a challenging problem. In this paper, with the goal of minimizing the average service delay of users, a joint multi-UAV trajectories design, offloading and resource optimization (JMORO) scheme is proposed. Since this problem has non-convex objective function and constraints, it is difficult to solve. In this paper, we equivalently convert it into a more tractable form by introducing the auxiliary variables. Then, based on matching game algorithm, block coordinate descent (BCD) method and successive convex approximation (SCA) technique, the sub-optimal solutions are obtained. Simulation results show that our proposed joint optimization scheme outperforms other benchmark schemes in terms of the average service delay of users.