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

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.

Speakers, Panelists and Moderators

  • FRANCESC WILHELMI
    FRANCESC WILHELMI
    Postdoctoral Researcher, Mobile Networks Department
    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
    Francesc holds a Ph.D. in Information and Communication Technologies (2020), from Universitat Pompeu Fabra (UPF). Previously, he obtained a B.Sc. degree in Telematics Engineering (2015) and an M.Sc. in Intelligent and Interactive Systems (2016), also from the UPF. He is currently working as a postdoctoral researcher in the Mobile Networks department at Centre Tecnològic de Telecomunicacions de Catalunya (CTTC). He is also involved in standardization activities within the ITU-T. In particular, he actively participated in the Focus Group on Machine Learning for Future Networks including 5G (FG-ML5G), where he has acted as an editor, a mentor on students projects, and organized a problem statement for the ITU-T AI Challenge. Regarding education, Francesc has been a teaching assistant at the UPF since 2015 and course instructor at Universitat Oberta de Catalunya (UOC) since 2020.
RESOURCES

Date

10 Jul 2020

Time

CEST, Geneva
14:00 - 15:00
Sessions

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