Compared with traditional cloud computing, service providers in edge computing are closer to the requester of the demand, and can better meet the requirements of communication transmission delay. The Internet of Vehicles is one of the important application scenarios of 5G, the vehicle edge nodes of it have a large number of free resources, but its highly dynamic characteristics will lead to environmental uncertainty, which will affect task offloading decisions. In this article, in the vehicle edge cloud computing system, a V2V or V2I communication method is selected based on probability to achieve low-latency and high-reliability commu ication requirements, and the Multi-Armed Bandit (MAB) method is used to learn the surrounding environment of the vehicle so that it can adapt dynamically changing environments to make task offloading decisions. After a large number of simulations, our solution can adaptively offload tasks to minimize the expected delay and obtain a sub-linearly increasing learning regret curve in a high-speed mobile vehicle networking scenario.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-Armed Bandit Based Task Offloading By Probabilistic V2X Communication in Vehicle Edge Cloud System


    Beteiligte:
    Xie, Jiayou (Autor:in) / Si, Qi (Autor:in) / Tang, Yulian (Autor:in)


    Erscheinungsdatum :

    01.05.2020


    Format / Umfang :

    125297 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Contextual Multi-Armed Bandit based Beam Allocation in mmWave V2X Communication under Blockage

    Cassillas, Arturo Medina / Kose, Abdulkadir / Lee, Haeyoung et al. | IEEE | 2023


    Multi-Armed Bandit Based Sum Rate Maximization for UAV-Assisted NOMA Communication Systems

    Elsayed, Abeer / Makkey, Mostafa Y. / Elnahas, Osama | IEEE | 2024


    Profiling Vehicles for Improved Small Cell Beam-Vehicle Pairing Using Multi-Armed Bandit

    Abdulkadir Kose / Chuan Heng Foh / Haeyoung Lee et al. | BASE | 2021

    Freier Zugriff