MA6b1.2

Residual Neural Networks for Learning the Full-Duplex Self-Interference

Mohamed Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre, Faculty of Engineering and Applied Science, Memorial University, Canada; Wan Yi Shiu, Peiwei Wang, Huawei Canada Research Centre, Huawei Technologies Canada Company Ltd., Canada
Session:
MA6b1: Simultaneous Tx-Rx (Invited) Poster
Track:
MIMO Communications and Signal Processing
Location:
Kiln
Presentation Time:
Mon, 30 Oct, 10:15 - 11:55 PT (UTC -8)
Session Chair:
Mario Huemer, Johannes Kepler University Linz
Presentation
Discussion
Resources
No resources available.
Session MA6b1
MA6b1.1: Joint Self-Interference Cancellation and Data Estimation for OFDM Based Full-Duplex Communication Systems
Stefan Baumgartner, Carl Böck, Mario Huemer, Johannes Kepler University Linz, Austria; Alexios Balatsoukas-Stimming, Eindhoven University of Technology, Netherlands
MA6b1.2: Residual Neural Networks for Learning the Full-Duplex Self-Interference
Mohamed Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre, Faculty of Engineering and Applied Science, Memorial University, Canada; Wan Yi Shiu, Peiwei Wang, Huawei Canada Research Centre, Huawei Technologies Canada Company Ltd., Canada
MA6b1.3: Cascaded Models for Cancellation of Air-Induced Passive Intermodulation in MIMO Transceivers
Vesa Lampu, Lauri Anttila, Matias Turunen, Tampere University, Finland; Marko Fleischer, Jan Hellmann, Nokia Mobile Networks, Germany; Mikko Valkama, Tampere University, Finland
MA6b1.4: Enabling Integrated Sensing and Communication using In-Band Full-Duplex Systems
Hao-Lun Weng, Yung-Chih Chih, Chung-An Shen, National Taiwan University of Science and Technology, Taiwan; Mohammed Fouda, Rain Neuromorphics, United States; Ahmed Eltawil, KAUST, Saudi Arabia
Contacts