Abstract
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.
Highlights
Unmanned aerial vehicles (UAVs) have attracted a large amount of attention over recent years[1,2,3]
6 Conclusion This paper has investigated a new robust information surveillance problem under the UAV-enabled Cognitive radio (CR) network
A proactive eavesdropping scheme has been considered to monitor the suspicious transmission between the suspicious UAV transmitter and the ground receiver via jamming
Summary
Unmanned aerial vehicles (UAVs) have attracted a large amount of attention over recent years[1,2,3]. Their applications, such as surveillance, aerospace imaging, and cargo transportation, are widely studied. In a UAV-assisted network, UAVs are deployed to provide wireless connectivity to ground users[9]. Due to UAVs’ high mobility, the deployment of drone-assisted communication systems is more flexible, which makes them suitable for on-demand applications or accidents. UAV-assisted communication provides additional design freedom for performance improvements by dynamically optimizing the UAV position to best meet communication requirements [10]
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