论文标题
用于无人机的合法监控系统的能源管理和轨迹优化
Energy Management and Trajectory Optimization for UAV-Enabled Legitimate Monitoring Systems
论文作者
论文摘要
由于它们的快速放置和高灵活性，无人驾驶汽车（UAV）在当前和未来的无线通信系统中可能非常有用。随着越来越多的智能设备和无基础架构的通信网络，有必要合法监视这些网络以防止犯罪。在本文中，提出了一个新颖的框架，以利用无人机的灵活性通过联合轨迹设计和能量管理来合法监测。该系统包括带有陆地发射器和陆地接收器的可疑变速箱链接，以及无人机来监视可疑链接。无人机可以调整其位置，并向可疑的接收器发送干扰信号，以确保成功窃听。基于此模型，我们首先开发了一种方法来最大程度地减少无人机的整体干扰能量消耗。建立在明智的（重新）公式的基础上，开发了一种交替的优化方法，以计算多项式时间的本地最佳解决方案。此外，我们建模并包括推进能力，以最大程度地减少无人机的整体能源消耗。利用连续的凸近似方法，开发了一种有效的迭代方法，以找到满足Karush-Kuhn-Tucker（KKT）条件的可行解决方案。提供广泛的数值结果以验证所提出的方案的优点。
Thanks to their quick placement and high flexibility, unmanned aerial vehicles (UAVs) can be very useful in the current and future wireless communication systems. With a growing number of smart devices and infrastructure-free communication networks, it is necessary to legitimately monitor these networks to prevent crimes. In this paper, a novel framework is proposed to exploit the flexibility of the UAV for legitimate monitoring via joint trajectory design and energy management. The system includes a suspicious transmission link with a terrestrial transmitter and a terrestrial receiver, and a UAV to monitor the suspicious link. The UAV can adjust its positions and send jamming signal to the suspicious receiver to ensure successful eavesdropping. Based on this model, we first develop an approach to minimize the overall jamming energy consumption of the UAV. Building on a judicious (re-)formulation, an alternating optimization approach is developed to compute a locally optimal solution in polynomial time. Furthermore, we model and include the propulsion power to minimize the overall energy consumption of the UAV. Leveraging the successive convex approximation method, an effective iterative approach is developed to find a feasible solution fulfilling the Karush-Kuhn-Tucker (KKT) conditions. Extensive numerical results are provided to verify the merits of the proposed schemes.
