【摘要】 针对接入点因地面信号阻塞或阴影而无法访问移动设备的应用场景，通过正确部署和操作无人机，构建一个基于无线携能通信的无人机辅助移动边缘计算系统模型，其中无人机既作为空中基站为移动设备提供移动边缘计算服务，又作为空中中继将移动设备的计算任务卸载到接入点上执行。为解决无人机总能耗最优化问题，提出一种无人机辅助移动边缘计算任务卸载策略。该策略首先通过联合优化无人机水平位置、通信和计算资源以及任务划分比率建立问题模型，然后针对该问题是非凸问题，设计一种基于连续凸近似的联合优化算法来获得次优解。仿真实验结果验证了所提出的策略与优化算法的可行性和有效性。更多还原

【Abstract】 In the application scenario where the access point cannot access the mobile device due to ground signal blocking or shadow, an unmanned aerial vehicle(UAV)-assisted mobile edge computing system model based on simultaneous wireless information and power transfer is constructed by correctly deploying and operating the UAV. In this model, the UAV not only provides mobile edge computing(MEC) services for the mobile device as an air base station, but also offloads the computing tasks of the mobile device to the AP as a relay. In order to optimize the total energy consumption of UAV, a UAV-assisted MEC task offloading strategy is proposed. Firstly, the strategy constructs the problem model by jointly optimizing the UAV horizontal position, communication and computing resources and task division ratio. And then, in response to the non convex nature of the problem, a joint optimization algorithm based on successive convex approximation is designed to obtain the suboptimal solutions. The simulation results verify the feasibility and effectiveness of the proposed UAV-assisted MEC task offloading strategy and joint optimization algorithm.更多还原