空地协同下移动边缘计算系统的联合多无人机轨迹和卸载策略优化

Joint Multi-UAV Trajectory and Offloading Strategy Optimization of MEC System under Air-ground Cooperation

针对基站和无人机的各自优点,地面用户通过空地协同的方式获取计算卸载服务,目的在于最小化地面用户的总能耗。该问题是非凸混合整数非线性规划问题,优化参数存在强耦合性,这将是一个复杂且具有很大挑战的问题。为此,一种联合多无人机轨迹和卸载策略优化的算法被提出以解决这个复杂问题。仿真结果表明空地协同下的移动边缘计算系统性能得到大幅提升,并且通过对无人机的轨迹和用户卸载策略的优化,地面用户的总能耗也大幅降低。

In view of the respective advantages of base stations and UAVs,ground users obtain computing offloading services through air-ground cooperation,with the goal of minimizing the total energy consumption of ground users.This problem is a non-convex mixed integer nonlinear programming problem,and the optimization parameters have strong coupling,which will be a complex and very challenging problem.For this reason,a JUTOSO(joint UAVs trajectory and offloading strategy optimization)algorithm is proposed to solve this complex problem.The simulation results show that the performance of MEC(mobile edge computing)system under air-ground cooperation is greatly improved,and the total energy consumption of ground users is greatly reduced by optimizing the multi-UAV trajectory and offloading strategy.