机译:使用大数据驱动学习算法的CRN分散机会频道访问
College of Electronic Science and Technology National University of Defense Technology Hunan China;
Tianjin Artificial Intelligence Innovation Center (TAIIC) Tianjin China;
College of Electronic Science and Technology National University of Defense Technology Hunan China;
Department of Computing Macquarie University Sydney NSW Australia;
Department of Computing and Mathematics Manchester Metropolitan University Manchester U.K.;
Tianjin Artificial Intelligence Innovation Center (TAIIC) Tianjin China;
Instituto de Telecomunicac Aveiro Portugal;
Wireless sensor networks; Channel estimation; Markov processes; Sensors; Channel models; Cognitive radio; Multiuser channels;
机译:分散的信道状态信息的机会多信道访问
机译:机会信道访问下CRN中基于K跳邻居知识的聚类
机译:机会频谱接入的多通道媒体访问控制算法的性能分析
机译:分布式CRN中基于顺序信道感知的机会频谱接入
机译:机会学习:成本敏感和上下文感知学习的算法和方法
机译:协同Ad-Hoc网络的分散机会频谱资源访问模型和算法
机译:机会谱的分散在线学习算法 访问
机译:ad Hoc网络中机会频谱接入的分散认知maC:pOmDp框架。