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Residual Energy Analysis in Cognitive Radios with Energy Harvesting UAV under Reliability and Secrecy Constraints

机译:可靠性和保密性约束下具有能量收集无人机的认知无线电中的剩余能量分析

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摘要

The integration of unmanned aerial vehicles (UAVs) with a cognitive radio (CR) technology can improve the spectrum utilization. However, UAV network services demand reliable and secure communications, along with energy efficiency to prolong battery life. We consider an energy harvesting UAV (e.g., surveillance drone) flying periodically in a circular track around a ground-mounted primary transmitter. The UAV, with limited-energy budget, harvests radio frequency energy and uses the primary spectrum band opportunistically. To obtain intuitive insight into the performance of energy-harvesting, and reliable and secure communications, the closed-form expressions of the residual energy, connection outage probability, and secrecy outage probability, respectively, are analytically derived. We construct the optimization problems of residual energy with reliable and secure communications, under scenarios without and with an eavesdropper, respectively, and the analytical solutions are obtained with the approximation of perfect sensing. The numerical simulations verify the analytical results and identify the requirements of length of sensing phase and transmit power for the maximum residual energy in both reliable and secure communication scenarios. Additionally, it is shown that the residual energy in secure communication is lower than that in reliable communication.
机译:无人飞行器(UAV)与认知无线电(CR)技术的集成可以提高频谱利用率。但是,无人机网络服务需要可靠,安全的通信以及能效,以延长电池寿命。我们考虑一种能量收集型无人机(例如侦察无人机)定期在地面安装的主发射器周围的圆形轨道上飞行。具有有限能量预算的无人机可以获取射频能量并机会性地使用主频谱带。为了直观地了解能量收集的性能以及可靠和安全的通信,分别分析了剩余能量,连接中断概率和保密中断概率的闭式表达式。我们分别在没有窃听者和有窃听者的情况下,通过可靠和安全的通信构造了剩余能量的优化问题,并通过近似感测获得了解析解。数值模拟验证了分析结果,并确定了在可靠和安全的通信情况下,感应相位长度和发射功率的要求,以实现最大残留能量。另外,示出了安全通信中的残余能量低于可靠通信中的残余能量。

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