A-10: Neural Networks for Communications |
Session Type: Virtual |
Time: Monday, November 01, 11:15 - 12:45 |
Location: Room 1 |
Virtual Session: Attend on Virtual Platform |
Session Chair: Mikko Valkama, Tampere University |
A-10.1: Virtual DPD Neural Network Predistortion for OFDM-based MU-Massive MIMO |
Chance Tarver; Rice University |
Alexios Balatsoukas-Stimming; Eindhoven University of Technology |
Christoph Studer; ETH Zurich |
Joseph Cavallaro; Rice University |
A-10.2: Neural Network Based Data Estimation for Unique Word OFDM |
Stefan Baumgartner; Johannes Kepler University Linz |
Gergő Bognár; ELTE Eötvös Loránd University |
Oliver Lang; Johannes Kepler University Linz |
Mario Huemer; Johannes Kepler University Linz |
A-10.3: Neural Network Optimal UW-OFDM |
Gergő Bognár; ELTE Eötvös Loránd University |
Stefan Baumgartner; Johannes Kepler University Linz |
Oliver Lang; Johannes Kepler University Linz |
Mario Huemer; Johannes Kepler University Linz |
A-10.4: Deep Learning Based OFDM Physical-Layer Receiver for Extreme Mobility |
Jaakko Pihlajasalo; Tampere University |
Dani Korpi; Nokia Bell Labs |
Mikko Honkala; Nokia Bell Labs |
Janne Huttunen; Nokia Bell Labs |
Taneli Riihonen; Tampere University |
Jukka Talvitie; Tampere University |
Mikko Uusitalo; Nokia Bell Labs |
Mikko Valkama; Tampere University |