WA4a.1

Model-based Deep Learning for Beam Prediction based on a Channel Chart

Taha Yassine, IRT bcom, France; Baptiste Chatelier, INSA Rennes, Mitsubishi electric research center Europe, France; Vincent Corlay, Mitsubishi electric research center Europe, France; Matthieu Crussière, INSA Rennes, France; Stéphane Paquelet, IRT bcom, France; Olav Tirkkonen, Aalto University, Finland; Luc Le Magoarou, INSA Rennes, France
Session:
WA4a: Channel Charting (Invited) Lecture
Track:
Communications Systems
Location:
Nautilus
Presentation Time:
Wed, 1 Nov, 08:15 - 08:40 PT (UTC -8)
Session Chair:
Christoph Studer, ETH Zurich
Presentation
Discussion
Resources
No resources available.
Session WA4a
WA4a.1: Model-based Deep Learning for Beam Prediction based on a Channel Chart
Taha Yassine, IRT bcom, France; Baptiste Chatelier, INSA Rennes, Mitsubishi electric research center Europe, France; Vincent Corlay, Mitsubishi electric research center Europe, France; Matthieu Crussière, INSA Rennes, France; Stéphane Paquelet, IRT bcom, France; Olav Tirkkonen, Aalto University, Finland; Luc Le Magoarou, INSA Rennes, France
WA4a.2: Augmenting Channel Charting with Classical Wireless Source Localization Techniques
Florian Euchner, Phillip Stephan, Stephan ten Brink, University of Stuttgart, Germany
WA4a.3: Channel Charting for Streaming CSI Data
Sueda Taner, ETH Zurich, Switzerland; Maxime Guillaud, Inria, France; Olav Tirkkonen, Aalto University, Finland; Christoph Studer, ETH Zurich, Switzerland
WA4a.4: Learning Privacy-Preserving Channel Charts
Patrick Agostini, Zoran Utkovski, Igor Bjelakovic, Slawomir Stanczak, Fraunhofer Heinrich Hertz Institute, Germany
Contacts