This paper investigates the achievable average secrecy rate for a mobile jammer-aided secure unmanned aerial vehicle (UAV) relaying system. Specifically, one UAV is deployed as relay to support the communications between a source node and a destination node. An additional cooperative UAV is dispatched to enhance security by transmitting an the interference signal to interfere with any suspicious eavesdropping. With the objective of enhancing secrecy against eavesdropping, an optimization problem for jointly optimizing the time scheduling, transmit power, and UAV's trajectory is formulated while considering the energy-constrained condition of rotary-wing UAV. As the corresponding optimization problem is mixed-integer non-convex, we propose an iterative algorithm to efficiently solve this optimization problem by applying successive convex optimization and block coordinate descent techniques to derive a locally optimal solution. Simulation results demonstrate the effectiveness of the proposed algorithm compared with benchmark algorithms.

本文研究了一种可移动干扰器辅助的安全无人飞行器（UAV）中继系统可达到的平均保密率。具体地，一个UAV被部署为中继以支持源节点和目的节点之间的通信。通过发送干扰信号以干扰任何可疑的窃听，调度了另一台协作式无人飞行器以增强安全性。为了提高保密性，在考虑旋翼无人机能量受限的前提下，提出了一种优化时间调度，发射功率和无人机轨迹的优化问题。由于相应的优化问题是混合整数非凸，我们提出了一种迭代算法，通过应用连续凸优化和块坐标下降技术来导出局部最优解，从而有效地解决了该优化问题。仿真结果证明了该算法与基准算法相比的有效性。