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典型文献
Joint Trajectory and Passive Beamforming Optimization in IRS-UAV Enhanced Anti-Jamming Communication Networks
文献摘要:
This paper investigates the anti-jamming communication scenario where an intelligent reflect-ing surface(IRS)is mounted on the unmanned aerial vehicle(UAV)to resist the malicious jamming attacks.Different from existing works,we consider the dy-namic deployment of IRS-UAV in the environment of the mobile user and unknown jammer.Therefore,a joint trajectory and passive beamforming optimization approach is proposed in the IRS-UAV enhanced net-works.In detail,the optimization problem is firstly formulated into a Markov decision process(MDP).Then,a dueling double deep Q networks multi-step learning algorithm is proposed to tackle the complex and coupling decision-making problem.Finally,sim-ulation results show that the proposed scheme can sig-nificantly improve the anti-jamming communication performance of the mobile user.
文献关键词:
作者姓名:
Zhifeng Hou;Jin Chen;Yuzhen Huang;Yijie Luo;Ximing Wang;Jiangchun Gu;Yifan Xu;Kailing Yao
作者机构:
PLA Army Engineering University,Nanjing 210007,China;Artificial Intelligence Research Center,Defense Innovation Institute,Beijing 100166,China;School of Information and Communication,Beijing University of Posts and Telecommunications,Beijing 100876,China;College of Information and Communication,National University of Defense Technology,Wuhan 430010,China
引用格式:
[1]Zhifeng Hou;Jin Chen;Yuzhen Huang;Yijie Luo;Ximing Wang;Jiangchun Gu;Yifan Xu;Kailing Yao-.Joint Trajectory and Passive Beamforming Optimization in IRS-UAV Enhanced Anti-Jamming Communication Networks)[J].中国通信(英文版),2022(05):191-205
A类:
B类:
Joint,Trajectory,Passive,Beamforming,Optimization,IRS,UAV,Enhanced,Anti,Jamming,Communication,Networks,This,paper,investigates,anti,jamming,communication,scenario,where,intelligent,reflect,surface,mounted,unmanned,aerial,vehicle,resist,malicious,attacks,Different,from,existing,we,consider,dy,namic,deployment,environment,mobile,user,unknown,jammer,Therefore,joint,trajectory,passive,beamforming,optimization,approach,proposed,enhanced,In,detail,problem,firstly,formulated,into,Markov,decision,process,MDP,Then,dueling,double,deep,networks,multi,step,learning,algorithm,tackle,complex,coupling,making,Finally,sim,ulation,results,show,that,scheme,sig,nificantly,improve,performance
AB值:
0.705496
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