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Dual-UAV-Enabled Secure Communications: Joint Trajectory Design and User Scheduling

机译:支持双UAV的安全通信:联合弹道设计和用户计划

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摘要

In this paper, we investigate a novel unmanned aerial vehicle (UAV)-enabled secure communication system. Two UAVs are applied in this system where one UAV moves around to communicate with multiple users on the ground using orthogonal time-division multiple access while the other UAV in the area jams the eavesdroppers on the ground to protect communications of the desired users. Specifically, we maximize the minimum worst-case secrecy rate among the users within each period by jointly adjusting UAV trajectories and user scheduling under the maximum UAV speed constraints, the UAV return constraints, the UAV collision avoidance constraints, and the discrete binary constraints on user scheduling variables. Since the resulting optimization problem is very difficult to solve due to its highly nonlinear objective function and nonconvex constraints, we first equivalently transform it into a more tractable problem. In particular, the binary constraints are equivalently converted to a number of equality constraints. Then, we develop a novel joint optimization algorithm to handle the converted problem. In order to further improve the secrecy rate performance, we also extend the developed algorithm to the case with multiple jamming UAVs. The simulation results show that the proposed joint optimization algorithm achieves significantly better performance than the conventional algorithms.
机译:在本文中,我们研究了一种新型的支持无人机的安全通信系统。该系统中应用了两架无人机,其中一架无人机通过正交时分多址移动到地面上与多个用户通信,而该区域中的另一架无人机则在地面上窃听窃听者,以保护所需用户的通信。具体来说,我们通过在最大UAV速度约束,UAV返回约束,UAV避撞约束以及对用户的离散二进制约束下共同调整无人机轨迹和用户调度,从而最大化每个时段内用户的最小最坏情况保密率调度变量。由于最终的优化问题由于其高度非线性的目标函数和非凸约束而很难解决,因此我们首先将其等效地转化为更易于处理的问题。特别地,二进制约束等效地转换为多个相等约束。然后,我们开发了一种新颖的联合优化算法来处理转换后的问题。为了进一步提高保密率性能,我们还将开发的算法扩展到具有多个干扰无人机的情况。仿真结果表明,所提出的联合优化算法具有比常规算法明显更好的性能。

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