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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Multi-Drone 3-D Trajectory Planning and Scheduling in Drone-Assisted Radio Access Networks 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 页码: 8145-8158 作者:  Shi, Weisen;  Li, Junling;  Cheng, Nan;  Lyu, Feng;  Zhang, Shan 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 Drone communication  drone base station  trajectory planning  DA-RAN  space-air-ground integration   Vehicular Communication Networks in the Automated Driving Era 期刊论文 IEEE COMMUNICATIONS MAGAZINE, 2018, 卷号: 56, 页码: 26-32 作者:  Zhang, Shan;  Chen, Jiayin;  Lyu, Feng;  Cheng, Nan;  Shi, Weisen 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Big Data Driven Vehicular Networks 期刊论文 IEEE NETWORK, 2018, 卷号: 32, 页码: 160-167 作者:  Cheng, Nan;  Lyu, Feng;  Chen, Jiayin;  Xu, Wenchao;  Zhou, Haibo 收藏  |  浏览/下载：17/0  |  提交时间：2019/12/30 Global positioning system  Intelligent systems  Learning systems  Mobile telecommunication systems  Motor transportation  Quality of service  Reliability  Roads and streets  Vehicular ad hoc networks  Information exchanges  Intelligent transportation systems  Mobile applications  Mobile communications  Reliable transmission  Roads  Vehicular connectivities  Wireless fidelities  Big data   Reinforcement Learning based Computation Migration for Vehicular Cloud Computing 会议论文 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018-01-01 作者:  Sun, Fei;  Cheng, Nan;  Zhang, Shan;  Zhou, Haibo;  Gui, Lin 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 vehicular cloud  computation migration  vehicular mobility  decision making  reinforcement learning   Reinforcement Learning Policy for Adaptive Edge Caching in Heterogeneous Vehicular Network 会议论文 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018-01-01 作者:  Chen, Jiayin;  Xu, Wenchao;  Cheng, Nan;  Wu, Huaqing;  Zhang, Shan 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Heterogeneous Vehicular Networks  Edge Caching  Reinforcement Learning  Content Delivery