This paper designs an unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) system. The main work of the UAV is to communicate with multiple ground users, meanwhile it should satisfy the quality and security via sending jamming signal to against the potential eavesdropper. We aim to maximize the secure computation efficiency, subject to the trajectory of the UAV, the minimum secret rate and the expected bits of tasks. Due to the non-convex of the original problem, we exploit the block coordinate and transform the original problem into a tractable problem. We then propose a two-stage alternative optimization algorithm for secure computation efficiency maximization by jointly optimizing the transmission power and UAV’s trajectory. The simulation results show that our proposed algorithms consume much less energy compared to other benchmark schemes.

本文设计了一种支持无人机的移动边缘计算（MEC）系统。无人机的主要工作是与多个地面用户进行通信，同时它应通过发送干扰信号以防止潜在的窃听者来满足质量和安全性。我们的目标是最大程度地提高安全计算效率，这取决于无人机的轨迹，最小机密率和预期的任务位数。由于原始问题的非凸性，我们利用块坐标并将原始问题转换为可解决的问题。然后，我们通过联合优化发射功率和无人机的航迹，提出了一种用于安全计算效率最大化的两阶段替代优化算法。