In the finite blocklength scenario, which is suitable for practical applications, a method of maximizing the average effective secrecy rate (AESR) is proposed for a UAV-enabled secure communication by optimizing the UAV's trajectory and transmit power subject to the UAV's mobility constraints and transmit power constraints. To address the formulated non-convex optimization problem, it is first decomposed into two non-convex subproblems. Then the two subproblems are converted respectively into two convex subproblems via the first-order approximation. Finally, an alternating iteration algorithm is developed by solving the two subproblems iteratively using successive convex approximation (SCA) technique. Numerical results show that our proposed scheme achieves a better AESR performance than both the benchmark schemes.

中文翻译：

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具有有限块长度的 UAV 安全通信

在适合实际应用的有限块长度场景中，通过优化无人机的轨迹和发射功率，在无人机的移动性约束和发射条件下，提出了一种最大化平均有效保密率（AESR）的方法，用于无人机支持的安全通信。权力限制。为了解决公式化的非凸优化问题，首先将其分解为两个非凸子问题。然后通过一阶近似将两个子问题分别转化为两个凸子问题。最后，通过使用逐次凸逼近 (SCA) 技术迭代求解两个子问题，开发了交替迭代算法。数值结果表明，我们提出的方案比两种基准方案实现了更好的 AESR 性能。