Uncertainty-aware RAN Slicing via Machine Learning Predictions in Next-Generation Networks

Raouf Abozariba, Muhammad Kamran Naeem, Md Asaduzzaman, Mohammad Patwary

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Citations (SciVal)
    Original languageEnglish
    Title of host publication2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728194844
    DOIs
    Publication statusPublished (VoR) - Nov 2020
    Event92nd IEEE Vehicular Technology Conference, VTC 2020-Fall - Virtual, Victoria, Canada
    Duration: 18 Nov 2020 → …

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume2020-November
    ISSN (Print)1550-2252

    Conference

    Conference92nd IEEE Vehicular Technology Conference, VTC 2020-Fall
    Country/TerritoryCanada
    CityVirtual, Victoria
    Period18/11/20 → …

    Keywords

    • 5G
    • RAN Slicing
    • machine learning
    • next generation wireless networks
    • spectrum management
    • traffic forecasting

    Fingerprint

    Dive into the research topics of 'Uncertainty-aware RAN Slicing via Machine Learning Predictions in Next-Generation Networks'. Together they form a unique fingerprint.

    Cite this