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作 者:Zhenhui Tao Fuhui Zhou Yuhao Wang Xiaodong Liu Qihui Wu
机构地区:[1]School of Information Engineering,Nanchang University,Nanchang 330031,China [2]College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210000,China [3]Shanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts and Telecommunication,Xi’an 710121,China [4]School of Electronic Information,Wuhan University,Wuhan 430072,China
出 处:《China Communications》2022年第5期206-217,共12页中国通信(英文版)
基 金:This work was supported in part by the National Natural Science Foundation of China(No.62031012,62071223,and 62061030);in part by the National Key Research and Development Project of China(2018YFB1404303,2018YFB14043033,and 2020YFB1807602);in part by the National Key Scientific Instrument and Equipment Development Project(61827801);in part by the Open Project of the Shaanxi Key Laboratory of Information Communication Network and Security(ICNS201701);by Young Elite Scientist Sponsorship Program by CAST,and by Graduate Innovation Foundation of Jiangxi Province(YC2019-S0350).
摘 要:Unmanned aerial vehicle(UAV)communications are subject to the severe spectrum scarcity problem.Cognitive UAV networks are promising to tackle this issue while the confidential information is susceptible to be eavesdropped.A UAV jamming assisted scheme is proposed.A joint resource allocation and trajectories optimization problem is formulated in a UAV-assisted jamming cognitive UAV network subject to diverse power and trajectory constraints.An alternative optimization algorithm is proposed to solve the challenging non-convex joint optimization problem.Extensive simulation results demonstrate the superiority of our proposed scheme and many meaningful insights are obtained for the practical design of cognitive UAV networks.
关 键 词:cognitive radio unmanned aerial vehicles communications physical layer security cooperative jamming
分 类 号:V279[航空宇航科学与技术—飞行器设计] TN975[电子电信—信号与信息处理]
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