Efficient Trajectory Planning and Dynamic Resource Allocation for UAV-Enabled MEC System
Yaoping Zeng, Shisen Chen, Yanpeng Cui, Jianbo Du
Abstract
This letter aims to minimize the summation energy consumption of user equipments under controllable task backlog queues with unmanned aerial vehicles (UAV)-assisted mobile edge computing system. Based on Lyapunov optimization, the original stochastic optimization problem can be transformed into a deterministic optimization problem, and system stability is also ensured. To address this nonconvex problem, we employ alternating optimization to achieve the near-optimal transmit power, bandwidth ratio, and trajectory planning, respectively. Furthermore, considering the accuracy of the solution and algorithm complexity, we propose a two-stage operating mode for the UAV based on a recursive successive convex approximation method to optimize trajectory. Finally, the convergence and effectiveness of the proposed algorithm are validated through simulation results.