TU3-4: Machine Learning in Communications |
Session Type: Virtual |
Time: Tuesday, November 3, 14:50 - 16:30 |
Virtual Session: View on Virtual Platform |
Location: Room 4 |
Session Chair: Emrah Akyol, Binghamton University |
TU3-4-1: Strategic Remote Estimation |
Griffin Rule; NYU |
Emrah Akyol; Binghamton University |
TU3-4-2: Kernel Recursive Least Squares Based Cancellation of Second-Order Intermodulation Distortion |
Christina Auer; Johannes Kepler University Linz |
Thomas Paireder; Johannes Kepler University Linz |
Oliver Lang; Johannes Kepler University Linz |
Mario Huemer; Johannes Kepler University Linz |
TU3-4-3: How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy |
Brian Kim; University of Maryland |
Yalin E. Sagduyu; Intelligent Automation, Inc. |
Kemal Davaslioglu; Intelligent Automation, Inc. |
Tugba Erpek; Intelligent Automation, Inc. |
Sennur Ulukus; University of Maryland |
TU3-4-4: DNN-based Sum-Rate Maximization of Multicell MISO Networks |
Youjin Kim; Ulsan National Institute of Science and Technology |
Jonggyu Jang; Ulsan National Institute of Science and Technology |
Hyun Jong Yang; Pohang University of Science and Technology |
TU3-4-5: Unsupervised Training Dataset Curation for Deep-Neural-Net RF Signal Classification |
George Sklivanitis; Florida Atlantic University |
Konstantinos Tountas; Florida Atlantic University |
Ngwe Thawdar; Air Force Research Laboratory |
Michael J. Medley; Air Force Research Laboratory |
Dimitris A. Pados; Florida Atlantic University |