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机译:基于深度加强学习的基于Scround的无线D2D转码的基于转换基督转换器选择框架
Beijing Univ Posts & Telecommun Beijing Key Lab Space Ground Interconnect & Conve Beijing 100876 Peoples R China;
Beijing Univ Posts & Telecommun Beijing Key Lab Space Ground Interconnect & Conve Beijing 100876 Peoples R China;
Carleton Univ Dept Syst & Comp Engn Ottawa ON K1S 5B6 Canada;
Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China|Univ British Columbia Dept Elect & Comp Engn Vancouver BC V6T 1Z4 Canada;
Beijing Univ Posts & Telecommun Beijing Key Lab Space Ground Interconnect & Conve Beijing 100876 Peoples R China;
Transcoding; Device-to-device communication; Resource management; Task analysis; Quality of service; Streaming media; Blockchain; deep reinforcement learning (DRL); transcoder selection;
机译:基于加权协作强化学习的底层D2D通信节能自主资源选择策略
机译:使用深度加强学习,在网络边缘的无线网络中自适应比特率流媒体
机译:用于D2D的边缘缓存,使具有深度增强学习的分层无线网络的分层无线网络
机译:深度加强学习(DRL)基于阻塞视频流的基于转码器选择
机译:基于深度加强学习的投资组合管理
机译:5G无线网络中中继辅助D2D通信的高能效功率分配和中继选择方案
机译:基于深度加强学习的智能反射表面,用于安全无线通信