Dual-UAV-Enabled Secure Communications: Joint Trajectory Design and User Scheduling
Dual-UAV-Enabled Secure Communications: Joint Trajectory Design and User Scheduling
复制标题
双无人机安全通信：联合轨迹设计和用户调度
DOI：
10.1109/jsac.2018.2864424
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发表时间：
2018-08
影响因子：
16.4
通讯作者：
Li Geoffrey Ye
中科院分区：
文献类型：
--
作者：
Cai Yunlong;Cui Fangyu;Shi Qingjiang;Zhao Minjian;Li Geoffrey Ye
在本文中，我们研究了一种新型的无人机（UAV）安全通信系统。该系统采用两架无人机，其中一架无人机四处移动，利用正交时分多址与地面多个用户进行通信，而另一架无人机则干扰地面窃听者，以保护所需用户的通信。具体来说，我们通过在最大无人机速度约束、无人机返回约束、无人机防撞约束和用户调度变量的离散二元约束下联合调整无人机轨迹和用户调度，最大化每个时段内用户之间的最小最坏情况保密率。由于由此产生的优化问题由于其高度非线性的目标函数和非凸约束而非常难以解决，因此我们首先将其等效地转化为更容易处理的问题。特别地，二元约束等价地转换为多个等式约束。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比传统算法取得了明显更好的性能。
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.
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DOI：
10.1109/icc.2018.8422584
发表时间：
2017-10
期刊：
2018 IEEE International Conference on Communications (ICC)
影响因子：
--
作者：
Shuowen Zhang;Yong Zeng;Rui Zhang
通讯作者：
Shuowen Zhang;Yong Zeng;Rui Zhang
影响因子：
3.1
作者：
Lu, Zhaosong;Zhang, Yong
通讯作者：
Zhang, Yong
DOI：
10.1017/cbo9780511977985
发表时间：
2011-09
期刊：
--
影响因子：
--
作者：
M. Bloch;J. Barros
通讯作者：
M. Bloch;J. Barros
影响因子：
11.2
作者：
Zeng, Yong;Zhang, Rui;Lim, Teng Joon
通讯作者：
Lim, Teng Joon
影响因子：
5.4
作者：
Dong, Lun;Han, Zhu;Poor, H. Vincent
通讯作者：
Poor, H. Vincent