UAV-Enabled Secure Communications: Joint Trajectory and Transmit Power Optimization
UAV-Enabled Secure Communications: Joint Trajectory and Transmit Power Optimization
复制标题
无人机安全通信：联合轨迹和发射功率优化
DOI：
10.1109/tvt.2019.2900157
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发表时间：
2019-04-01
影响因子：
6.8
通讯作者：
Li, Jun
中科院分区：
文献类型：
--
作者：
Zhou, Xiaobo;Wu, Qingqing;Li, Jun
研究了无人机网络的物理层安全问题，无人机基站(UAV-B)在存在多个窃听者的情况下，借助无人机干扰器(UAV-J)将机密信息传输到多个信息接收器(IR)。我们建立了一个优化问题来联合设计UAV-B和UAV-J的轨迹和发射功率，以最大化所有IRS的最小平均保密率。优化问题是非凸的，优化变量是耦合的，这导致优化问题在数学上是难以处理的。因此，我们将优化问题分解为两个子问题，然后利用交替迭代算法和逐次凸逼近技术进行求解。结果表明，在飞行周期T=150美元时，该方案的平均保密率性能分别比无无人机-J方案的联合航迹和发射功率优化方案和固定航迹方案的发射功率优化方案提高了约20%和150%。
This paper studies the physical layer security of an unmanned aerial vehicle (UAV) network, where a UAV base station (UAV-B) transmits confidential information to multiple information receivers (IRs) with the aid of a UAV jammer (UAV-J) in the presence of multiple eavesdroppers. We formulate an optimization problem to jointly design the trajectories and transmit power of UAV-B and UAV-J in order to maximize the minimum average secrecy rate over all IRs. The optimization problem is non-convex and the optimization variables are coupled, which leads to the optimization problem being mathematically intractable. As such, we decompose the optimization problem into two subproblems and then solve it by employing an alternating iterative algorithm and the successive convex approximation technique. Our results show that the average secrecy rate performance of the proposed scheme provides about 20% and 150% performance gains over the joint trajectory and transmit power optimization without UAV-J scheme and the transmit power optimization with fixed trajectory scheme at flight period $T=150$ s, respectively.