Technical Program

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