This paper investigates the problem of maximizing the secrecy energy efficiency (SEE) for unmanned aerial vehicle- (UAV-) to-ground wireless communication system, in which a fixed-wing UAV tries to transmit covert information to a terrestrial legitimate destination receiver with multiple terrestrial eavesdroppers. In particular, we intend to maximize the worst-case SEE of UAV by jointly optimizing UAV’s flight trajectory and transmit power over a finite flight period. However, the formulated problem is challenging to solve because of its large-scale nonconvexity. For efficiently solving this problem, we first decouple the above optimization problem into two subproblems and then propose an alternating iterative algorithm by adopting block coordinate descent method and Dinkelbach’s algorithm as well as successive convex approximation technique to seek a suboptimal solution. For the sake of performance comparison, two benchmark schemes, the secrecy rate maximization (SRM) scheme and constrained energy minimization (CEM) scheme are considered to obtain more useful insights. Finally, simulation results are executed to verify that our proposed SEE maximization (SEEM) algorithm is superior to two benchmark schemes for the UAV-ground communication system.

中文翻译：

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通过轨迹设计和功率控制的保密节能无人机通信

本文研究了最大化无人机（UAV-）对地无线通信系统的保密能量效率（SEE）的问题，其中固定翼无人机尝试向地面合法目的地接收器传输多个隐蔽信息。地面窃听者。特别是，我们打算通过在有限的飞行周期内联合优化无人机的飞行轨迹和发射功率来最大化无人机的最坏情况 SEE。然而，公式化的问题由于其大规模的非凸性而难以解决。为了有效解决这个问题，我们首先将上述优化问题解耦为两个子问题，然后提出一种交替迭代算法，采用块坐标下降法和丁克尔巴赫算法以及逐次凸逼近技术寻求次优解。为了性能比较，考虑了两个基准方案，保密率最大化（SRM）方案和约束能量最小化（CEM）方案以获得更有用的见解。最后，执行仿真结果以验证我们提出的 SEE 最大化 (SEEM) 算法优于无人机-地面通信系统的两个基准方案。保密率最大化（SRM）方案和约束能量最小化（CEM）方案被认为是为了获得更有用的见解。最后，执行仿真结果以验证我们提出的 SEE 最大化 (SEEM) 算法优于无人机-地面通信系统的两个基准方案。保密率最大化（SRM）方案和约束能量最小化（CEM）方案被认为是为了获得更有用的见解。最后，执行仿真结果以验证我们提出的 SEE 最大化 (SEEM) 算法优于无人机-地面通信系统的两个基准方案。