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Aerial Cooperative Jamming for Cellular-Enabled UAV Secure Communication Network: Joint Trajectory and Power Control Design

机译:支持蜂窝的无人机安全通信网络的空中协作干扰:联合弹道和功率控制设计

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摘要

To improve the secrecy performance of cellular-enabled unmanned aerial vehicle (UAV) communication networks, this paper proposes an aerial cooperative jamming scheme and studies its optimal design to achieve the maximum average secrecy rate. Specifically, a base station (BS) transmits confidential messages to a UAV and meanwhile another UAV performs the role of an aerial jammer by cooperatively sending jamming signals to oppose multiple suspicious eavesdroppers on the ground. As the UAVs have the advantage of the controllable mobility, the objective is to maximize the worst-case average secrecy rate by the joint optimization of the two UAVs’ trajectories and the BS’s/UAV jammer’s transmit/jamming power over a given mission period. The objective function of the formulated problem is highly non-linear regarding the optimization variables and the problem has non-convex constraints, which is, in general, difficult to achieve a globally optimal solution. Thus, we divide the original problem into four subproblems and then solve them by applying the successive convex approximation (SCA) and block coordinate descent (BCD) methods. Numerical results demonstrate that the significantly better secrecy performance can be obtained by using the proposed algorithm in comparison with benchmark schemes.
机译:为了提高蜂窝无人飞行器(UAV)通信网络的保密性能,本文提出了一种空中协同干扰方案,并研究了其优化设计以实现最大的平均保密率。具体地,基站(BS)向UAV发送机密消息,同时另一UAV通过协作地发送干扰信号以对抗地面上的多个可疑窃听者来执行空中干扰器的作用。由于无人机具有可控制的机动性优势,因此目标是在给定的任务期内,通过联合优化两个无人机的航迹和基站/ UAV干扰机的发射/干扰功率,使最坏情况下的平均保密率最大化。所提问题的目标函数关于优化变量是高度非线性的,并且该问题具有非凸约束,这通常很难实现全局最优解。因此,我们将原始问题分为四个子问题,然后通过应用逐次凸逼近(SCA)和块坐标下降(BCD)方法解决它们。数值结果表明,与基准方案相比,该算法可以显着提高保密性能。

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