Multi-environment automotive QoS prediction using AI/ML

  • * Register (or log in) to the Neural Network to add this session to your agenda or watch the replay

  • Date
    23 May 2023
    Timeframe
    11:00 - 12:00
    Duration
    60 minutes
    Share this session

    The evolution of wireless communications is expected to rely on machine learning (ML)-based capabilities to provide proactive management of network resources and sustain quality-of-service (QoS) and user experience. New use cases in the area of vehicular communications, including so-called vehicle-to-everything (V2X) schemes, will benefit strongly from such advances. The Berlin V2X dataset offers high-resolution wireless measurements across diverse urban environments in the city of Berlin acquired with several vehicles and mobile network operators. The captured data includes information on the vehicle location, the LTE physical layer, resource management, and quality of service. We suggest leveraging the Berlin V2X dataset to implement QoS prediction. Furthermore, we encourage the use of transfer learning and/or domain adaptation to generalize the trained algorithms across operators, vehicles, or urban areas.  

    Share this session
    Discover more from programme stream
    AI/ML Challenge Finale: Beam-Level Traffic Forecasting and Site specific radio...

    AI/ML Challenge Finale: Beam-Level Traffic Forecasting and Site specific radio...

    13 December 2024 - 14:00 to 15:30

    AI/ML Challenge Finale: Radio Resource Management for 6G and Multi-user...

    AI/ML Challenge Finale: Radio Resource Management for 6G and Multi-user...

    8 November 2024 - 15:00 to 16:15

    Green Energy and Traffic Forecasting using AI/ML Challenge Launch

    Green Energy and Traffic Forecasting using AI/ML Challenge Launch

    6 August 2024 - 14:00 to 15:00

    Enabling Distributed Applications with Online Machine Learning

    Enabling Distributed Applications with Online Machine Learning

    17 July 2024 - 17:00 to 18:00

    Radio Resource Management for 6G in-X Subnetworks

    Radio Resource Management for 6G in-X Subnetworks

    26 June 2024 - 14:00 to 15:00

    Are you sure you want to remove this speaker?