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Secrecy Rate Maximization for 6G Cognitive Satellite-UAV Networks

Secrecy Rate Maximization for 6G Cognitive Satellite-UAV Networks

作     者:Chengleyang Lei Wei Feng Yunfei Chen Ning Ge Chengleyang Lei;Wei Feng;Yunfei Chen;Ning Ge

作者机构:Department of Electronic EngineeringTsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijing 100084China School of EngineeringUniversity of WarwickCoventry CV47ALUnited Kingdom 

出 版 物:《China Communications》 (中国通信(英文版))

年 卷 期:2023年第20卷第1期

页      面:246-260页

核心收录:

学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基  金:supported in part by the National Key Research and Development Program of China under Grant 2020YFA0711301 in part by the National Natural Science Foundation of China under Grant U22A2002 and Grant 61922049 

主  题:channel allocation cognitive satellite-UAV network physical layer security power allocation 

摘      要:To cover remote areas where terrestrial cellular networks may not be available,non-terrestrial infrastructures such as satellites and unmanned aerial vehicles(UAVs)can be utilized in the upcoming sixth-generation(6G)*** the spectrum scarcity problem,satellites and UAVs need to share the spectrum to save costs,leading to a cognitive satellite-UAV *** to the openness of both satellite links and UAV links,communication security has become a major concern in cognitive satelliteUAV *** this paper,we safeguard a cognitive satellite-UAV network from a physical layer security(PLS)*** only the slowlyvarying large-scale channel state information(CSI),we jointly allocate the transmission power and subchannels to maximize the secrecy sum rate of UAV *** optimization problem is a mixed integer nonlinear programming(MINLP)problem with coupling *** propose a heuristic algorithm which relaxes the coupling constraints by the penalty method and obtains a sub-optimal low-complexity solution by utilizing random matrix theory,the max-min optimization tool,and the bipartite graph matching *** simulation results corroborate the superiority of our proposed scheme.

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