Secrecy Rate Maximization for 6G Cognitive Satellite-UAV Networks  

作　　者：Chengleyang Lei Wei Feng Yunfei Chen Ning Ge 

机构地区：[1]Department of Electronic Engineering,Tsinghua University,Beijing 100084,China [2]Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China [3]School of Engineering,University of Warwick,Coventry CV47AL,United Kingdom

出　　处：《China Communications》2023年第1期246-260,共15页中国通信（英文版）

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。

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)era.Considering the spectrum scarcity problem,satellites and UAVs need to share the spectrum to save costs,leading to a cognitive satellite-UAV network.Due to the openness of both satellite links and UAV links,communication security has become a major concern in cognitive satelliteUAV networks.In this paper,we safeguard a cognitive satellite-UAV network from a physical layer security(PLS)perspective.Using 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 users.The optimization problem is a mixed integer nonlinear programming(MINLP)problem with coupling constraints.We 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 algorithm.The simulation results corroborate the superiority of our proposed scheme.

关 键 词：channel allocation cognitive satellite-UAV network physical layer security power allocation 

分 类 号：TN929.5[电子电信—通信与信息系统]