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Residual Energy Analysis with Physical-Layer Security for Energy-Constrained UAV Cognitive Radio Systems

机译:能量受限的无人机认知无线电系统具有物理层安全性的剩余能量分析

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Unmanned aerial vehicles (UAVs) based cognitive radio (CR) systems improve the sensing performance. However, such systems demand secure communication with lower power consumption. Motivated by these observations, we consider an energy-constraint yet energy harvesting (EH) drone flying periodically in the circular track around primary transmitter in the presence of an eavesdropper with an aim to use the licensed band opportunistically. Considering the trade-off between the residual energy and secondary link performance, we formulate the constrained optimization problem, i.e., maximizing residual energy under the constraint of secondary secrecy outage. Simulation results verify the proposed theoretical analysis.
机译:基于无人机(UAV)的认知无线电(CR)系统可改善传感性能。但是,这样的系统要求以较低的功耗进行安全的通信。基于这些观察,我们考虑到有一个能量受限但能量采集(EH)的无人机在有窃听者的情况下周期性地在主发射机周围的圆形轨道中飞行,目的是机会性地使用许可频段。考虑到剩余能量与次级链路性能之间的权衡,我们提出了约束优化问题,即在次级保密中断的约束下最大化残余能量。仿真结果验证了所提出的理论分析。

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