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    2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) : proceedings : Victoria, Canada, 4-7 October 2020

    IEEE Vehicular Technology Conference / Institute of Electrical and Electronics Engineers / Vehicular Technology Society | TIBKAT | 2020
    Publisher: IEEE , Piscataway, NJ

    [Title page]

    IEEE | 2020
    Presents the title page of the proceedings record. ...
    Publisher: IEEE

    Light-weight Machine Learning for mmWave Vehicular Communications

    Wang, Yitu / Nakachi, Takayuki | IEEE | 2020
    . Nevertheless, the sensitivity of mmWave to blockages together with its directionality bring new technical challenges in the vehicular context. In ...
    Publisher: IEEE

    Enhancing ETSI DCC for Multi-Service Vehicular Safety Communication

    Khan, Mohammad Irfan / Harri, Jerome / Sesia, Stefania | IEEE | 2020
    ETSI Decentralized Congestion Control (DCC) for vehicular communication is an essential mechanism for limiting wireless channel congestion ...
    Publisher: IEEE

    Blockchain-Enabled Targeted Information Dissemination Framework in Vehicular Networks

    Zhao, Pincan / Fu, Yuchuan / Li, Fan et al. | IEEE | 2020
    dissemination framework in vehicular networks based on blockchain techniques. In this framework, the information collected by users is uniformly judged ...
    Publisher: IEEE

    Scalable Modulation based Computation Offloading in Vehicular Edge Computing System

    Li, Wenjie / Zhang, Ning / Liu, Qiuyan et al. | IEEE | 2020
    Vehicular Edge Computing (VEC) is becoming popular due to the high offloading demand of computation-intensive vehicular network ...
    Publisher: IEEE

    Computation Offloading with Reliability Guarantee in Vehicular Edge Computing Systems

    He, Zhongjie / Shan, Hangguan / Bi, Yuanguo et al. | IEEE | 2020
    This paper investigates the reliable computation offloading in vehicular edge computing (VEC) systems. Compared with the traditional task ...
    Publisher: IEEE

    A Multi-Timescale Load Balancing Approach in Vehicular Edge Computing

    Lin, Tao / Yuan, Quan / Li, Jinglin et al. | IEEE | 2020
    offloading demands impedes the quality of vehicular edge computing. In this paper, we propose a multi-timescale load balancing approach to improve ...
    Publisher: IEEE

    DDPG-based Resource Management for MEC/UAV-Assisted Vehicular Networks

    Peng, Haixia / Shen, Xuemin Sherman | IEEE | 2020
    In this paper, we investigate joint vehicle association and multi-dimensional resource management in a vehicular network assisted by multi ...
    Publisher: IEEE

    Vehicular Dead Reckoning Based on Machine Learning and Map Matching

    Gomes, Lucas de C. / Costa, Luis Henrique M. K. | IEEE | 2020
    Publisher: IEEE