Mobile edge computing (MEC) is a prospective technology to enhance the computing power of mobile devices by offloading the tasks to MEC server. Due to the limited size of mobile devices, the insufficient of battery becomes a serious problem. Wireless power transfer (WPT) and mobile devices cooperation can extend the endurance of mobile devices. Integrating unmanned aerial vehicle (UAV) into wireless powered MEC system, the energy collection efficiency can be improved with the short direct path power transfer. However, mobile devices will interfere with each other by utilizing the same bandwidth during the devices cooperation. In this paper, we proposed an anti-interference UAV powered cooperative mobile edge computing scheme, in which mobile devices utilizes different subcarriers to transmit the information. Moreover, a resource optimization problem is formulated to minimize the transmit energy of the UAV through joint subcarriers and power allocation of mobile devices with the constraints of delay and computing tasks size. Simulation results demonstrate the performance of the proposed scheme.

移动边缘计算（MEC）是一项前瞻性技术，可通过将任务卸载到MEC服务器来增强移动设备的计算能力。由于移动设备的尺寸有限，电池电量不足成为一个严重的问题。无线电源传输（WPT）和移动设备的合作可以扩展移动设备的耐用性。将无人飞行器（UAV）集成到无线供电的MEC系统中，可以通过短距离直接电力传输来提高能量收集效率。但是，移动设备将在设备协作期间通过利用相同的带宽相互干扰。在本文中，我们提出了一种抗干扰无人机驱动的协作移动边缘计算方案，其中移动设备利用不同的子载波来传输信息。此外，提出了一种资源优化问题，以通过联合子载波和移动设备的功率分配，在延迟和计算任务大小的约束下，最大限度地降低无人机的发射能量。仿真结果证明了该方案的性能。