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典型文献
Navigation for UAV Pair-Supported Relaying in Unknown IoT Systems with Deep Reinforcement Learning
文献摘要:
Unmanned aerial vehicles(UAVs)have recently been regarded as a promising technology in In-ternet of things(IoT).UAVs functioned as intermediate relay nodes are capable of establishing uninterrupted and high-quality communication links between remotely de-ployed IoT devices and the destination.Multiple UAVs are required to be deployed due to their limited onboard energy.We study a UAV pair-supported relaying in un-known IoT systems,which consists of transmitter and re-ceiver.Our goal is that transmitter gathers the data from each device then transfers the information to receiver,and receiver finally transmits the information to the des-tination,while meeting the constraint that the amount of information received from each device reaches a certain threshold.This is an optimization problem with highly coupled variables,such as trajectories of transmitter and receiver.On account of no prior knowledge of the envir-onment,a dueling double deep Q network(dueling DDQN)algorithm is proposed to solve the problem.Whether it is in the phase of transmitter's receiving in-formation or the phase of transmitter's forwarding in-formation to receiver,the effectiveness and superiority of the proposed algorithm is demonstrated by extensive sim-ulationsin in comparison to some base schemes under dif-ferent scenarios.
文献关键词:
作者姓名:
HUANG Fei;LI Guangxia;WANG Haichao;TIAN Shiwei;YANG Yang;CHANG Jinghui
作者机构:
The College of Communications Engineering,Army Engineering University of PLA,Nanjing 210007,China;The National Innovation Institute of Defense Technology,Chinese Academy of Military Sciences,Beijing 100071,China;The Satellite Communication Center,Beijing 102300,China
引用格式:
[1]HUANG Fei;LI Guangxia;WANG Haichao;TIAN Shiwei;YANG Yang;CHANG Jinghui-.Navigation for UAV Pair-Supported Relaying in Unknown IoT Systems with Deep Reinforcement Learning)[J].电子学报(英文),2022(03):416-429
A类:
Relaying,tination,onment,ulationsin
B类:
Navigation,Pair,Supported,Unknown,IoT,Systems,Deep,Reinforcement,Learning,Unmanned,aerial,vehicles,UAVs,have,recently,been,regarded,promising,technology,In,ternet,things,functioned,intermediate,nodes,are,capable,establishing,uninterrupted,quality,communication,links,between,remotely,devices,destination,Multiple,required,deployed,their,limited,onboard,energy,We,study,pair,supported,relaying,systems,which,consists,transmitter,Our,goal,that,gathers,data,from,then,transfers,information,receiver,finally,transmits,while,meeting,constraint,amount,received,reaches,certain,threshold,This,optimization,problem,highly,coupled,variables,such,trajectories,On,account,prior,knowledge,envir,dueling,double,deep,network,DDQN,algorithm,proposed,solve,Whether,phase,receiving,forwarding,effectiveness,superiority,demonstrated,by,extensive,sim,comparison,some,base,schemes,under,dif,ferent,scenarios
AB值:
0.5957
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