典型文献
A Multi-Agent Reinforcement Learning-Based Collaborative Jamming System:Algorithm Design and Software-Defined Radio Implementation
文献摘要：
In multi-agent confrontation scenarios,a jammer is constrained by the single limited perfor-mance and inefficiency of practical application.To cope with these issues,this paper aims to investigate the multi-agent jamming problem in a multi-user sce-nario,where the coordination between the jammers is considered.Firstly,a multi-agent Markov decision process(MDP)framework is used to model and an-alyze the multi-agent jamming problem.Secondly,a collaborative multi-agent jamming algorithm(CMJA)based on reinforcement learning is proposed.Finally,an actual intelligent jamming system is designed and built based on software-defined radio(SDR)platform for simulation and platform verification.The simu-lation and platform verification results show that the proposed CMJA algorithm outperforms the indepen-dent Q-learning method and provides a better jamming effect.
文献关键词：
中图分类号：
作者姓名：
Luguang Wang;Fei Song;Gui Fang;Zhibin Feng;Wen Li;Yifan Xu;Chen Pan;Xiaojing Chu
作者机构：
College of Communications Engineering,Army Engineering University of PLA,Nanjing 210000,China
文献出处：
引用格式：
[1]Luguang Wang;Fei Song;Gui Fang;Zhibin Feng;Wen Li;Yifan Xu;Chen Pan;Xiaojing Chu-.A Multi-Agent Reinforcement Learning-Based Collaborative Jamming System:Algorithm Design and Software-Defined Radio Implementation)[J].中国通信（英文版）,2022(10):38-54
A类：
CMJA
B类：
Multi,Agent,Reinforcement,Learning,Based,Collaborative,Jamming,System,Algorithm,Design,Software,Defined,Radio,Implementation,In,multi,agent,confrontation,scenarios,constrained,by,single,limited,mance,inefficiency,practical,application,To,cope,these,issues,this,paper,aims,investigate,jamming,problem,user,where,coordination,between,jammers,considered,Firstly,Markov,decision,process,MDP,framework,used,model,alyze,Secondly,collaborative,algorithm,reinforcement,learning,proposed,Finally,actual,intelligent,system,designed,built,software,defined,radio,SDR,platform,simulation,verification,results,show,that,outperforms,indepen,dent,method,provides,better,effect
AB值：
0.619915
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