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机译:基于深度学习的NOMA网络无线电资源管理:用户协会,子信道和功率分配
Univ Sci & Technol Beijing Beijing Engn & Technol Res Ctr Convergence Networ Beijing Adv Innovat Ctr Mat Genome Engn Inst Artificial Intelligence Beijing 100083 Peoples R China;
Univ Sci & Technol Beijing Beijing Engn & Technol Res Ctr Convergence Networ Beijing Adv Innovat Ctr Mat Genome Engn Inst Artificial Intelligence Beijing 100083 Peoples R China;
Univ Sci & Technol Beijing Beijing Engn & Technol Res Ctr Convergence Networ Beijing Adv Innovat Ctr Mat Genome Engn Inst Artificial Intelligence Beijing 100083 Peoples R China;
Aristotle Univ Thessaloniki Thessaloniki 54124 Greece|Aristotle Univ Thessaloniki Elect & Comp Engn Dept Thessaloniki 54124 Greece|Aristotle Univ Thessaloniki Wireless Commun Syst Grp WCSG Thessaloniki 54124 Greece;
Resource management; NOMA; Wireless communication; Optimization; Deep learning; Heterogeneous networks; Quality of service; Machine learning; resource management; semi-supervised learning; energy efficiency;
机译:NOMA分层雾网络的干扰定价资源分配和用户子信道匹配
机译:用于NOMA层次结构雾网络的干扰定价资源分配和用户子信道匹配
机译:以用户为中心的超密集网络中节能用户协会的资源分配集成NOMA和波束成形
机译:NOMA无线电力传输网络中基于深度学习的资源分配
机译:认知无线电网络:资源分配和最终用户行为的影响。
机译:一种图形卷积网络的资源分配在认知无线电网络中的基于卷积网络的深度加强学习方法
机译:基于下行链路OFDM的认知无线电网络的队列感知子信道和功率分配