论文标题
低复杂性关节电源分配和轨迹设计用于无人机的安全通信，并拆分电源
Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications with Power Splitting
论文作者
论文摘要
构思和调查了无人驾驶飞机（UAV）的安全通信系统，在窃听者（EVE）在场的情况下，无人机将合法信息传输给地面用户。为了确保安全性，无人机采用了一种电源分割方法，在该方法中，其发射功率可以分别分为两个部分，以分别传输机密信息和人造噪声（AN）。我们的目标是通过共同优化无人机的轨迹，发射功率水平以及在整个飞行时间内分配给不同时间插槽的相应功率拆分率来最大化平均保密率，这均受到最大无人机速度约束，总迁移率限制，总传输功率约束和其他相关约束。为了有效解决这个非凸优化问题，我们通过融合块坐标下降（BCD）方法，凹形 - 连接程序（CCCP）和乘数的交替方向方法（AMPM）来提出迭代算法。特别是，我们表明所提出的算法表现出非常低的计算复杂性，并且其每个更新步骤均可以几乎封闭的形式制定。我们的仿真结果验证了所提出的算法的效率。
An unmanned aerial vehicle (UAV)-aided secure communication system is conceived and investigated, where the UAV transmits legitimate information to a ground user in the presence of an eavesdropper (Eve). To guarantee the security, the UAV employs a power splitting approach, where its transmit power can be divided into two parts for transmitting confidential messages and artificial noise (AN), respectively. We aim to maximize the average secrecy rate by jointly optimizing the UAV's trajectory, the transmit power levels and the corresponding power splitting ratios allocated to different time slots during the whole flight time, subject to both the maximum UAV speed constraint, the total mobility energy constraint, the total transmit power constraint, and other related constraints. To efficiently tackle this non-convex optimization problem, we propose an iterative algorithm by blending the benefits of the block coordinate descent (BCD) method, the concave-convex procedure (CCCP) and the alternating direction method of multipliers (ADMM). Specially, we show that the proposed algorithm exhibits very low computational complexity and each of its updating steps can be formulated in a nearly closed form. Our simulation results validate the efficiency of the proposed algorithm.
