ITU AI/ML in 5G Challenge: Improving the capacity of IEEE 802.11 WLANs through machine learning

Go back to programme

ITU AI/ML in 5G Challenge: Improving the capacity of IEEE 802.11 WLANs through machine learning

  • Zoom

    Watch on zoom

    watch on youtube

    * Register (or log in) to the AI4G Neural Network to add this session to your agenda or watch the replay

  • The talk is intended to present, describe and solve doubts concerning the problem statement “Improving the capacity of IEEE 802.11 WLANs through Machine Learning” (https://www.upf.edu/web/wnrg/ai_challenge) of the ITU AI/ML in 5G Challenge. The first part of the talk will be devoted to introducing IEEE 802.11 WLANs and the Channel Bonding (CB) problem. Then, the dataset will be described together with the goals of the challenge.

    Speaker(s)
    • i

      Speaker abstract

      AI/ML integration in Wi-Fi: an overview; The unlicensed spectrum is (and will continue to be) an essential part of wireless communications, as it provides ease of access and great flexibility to fulfill a plethora of use cases. Wi-Fi is one of the flagship technologies operating in the unlicensed bands and it is now facing fundamental changes toward unprecedented requirements such as ultra-high reliability. This talk will provide an overview of the current evolution path of Wi-Fi towards a deeper integration of AI/ML functionalities, highlighting activities discussing unified architecture, common standardized interfaces and strategical functionalities.
      Francesc Wilhelmi
      Postdoctoral Researcher, Mobile Networks Department
      Nokia Bell Labs
    Share this session

    Are you sure you want to remove this speaker?