In this paper, we considered a robust beamforming design problem for a proactive eavesdropping via jamming, in which a full-duplex legitimate monitor tries to eavesdrop on a suspicious communication link between the secondary pairs in an unmanned aerial vehicle (UAV)-enabled cognitive radio network. Due to the channel estimation errors, we assume that the channel state information is not perfectly known. To ensure the successful eavesdropping, jamming signals are designed to disrupt the suspicious receivers and the primary receiver at the same time, which should have the good tradeoff between those two effects. We aimed to maximize the achievable eavesdropping rate under the transmitting power constraint at the legitimate monitor and the interference temperature constraint at the primary receiver, which was formulated as a non-convex problem with infinite constraints. We firstly transform the original problem into a simplified one with finite constraints. Then, an analytical solution in significant low-complexity is proposed by decomposing the simplified problem. Numerical results are finally presented to evaluate the performance of our proposed schemes in UAV-enabled wireless communication networking.

中文翻译：

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启用UAV的无线通信网络中的稳健主动窃听

在本文中，我们考虑了通过干扰进行主动窃听的鲁棒波束成形设计问题，其中全双工合法监控器试图窃听启用了无人机（UAV）的认知无线电中辅助对之间的可疑通信链路网络。由于信道估计误差，我们假设信道状态信息不是完全已知的。为了确保成功进行监听，设计了干扰信号以同时破坏可疑接收器和主接收器，这两种效果之间应具有良好的权衡。我们的目标是在合法监测器的发射功率约束和主接收器的干扰温度约束下最大化可实现的窃听率，它被表述为具有无限约束的非凸问题。我们首先将原始问题转换为具有有限约束的简化问题。然后，通过分解简化问题，提出了一种具有低复杂度的解析解决方案。最后给出了数值结果，以评估我们提出的方案在支持UAV的无线通信网络中的性能。