Welcome to the Third Workshop on the Machine Learning in Wireless Communication Networks on Sept 19, 2022, held in coordination with WiOpt 2022. The workshop brings together different research communities that utilize machine learning methods in large scale networked wireless systems. The workshop consists of invited talks of 30 minutes duration each, which explore a range of cutting edge topics in the space of communication, routing, scheduling, games and optimization. Each speaker has made significant contributions to their respective areas, and brings a unique perspective on the topic of interest.

The workshop will be fully virtual.

Athina Markopoulou, UC Irvine

Danijela Cabric, UC Los Angeles

Krishna Narayanan, Texas A&M University

Lei Ying, University of Michigan

Lingjia Liu, Virginia Tech

Tara Javidi, UC San Diego

Tomasso Melodia, Northeastern University

Walid Saad, Virginia Tech

8:00 AM Eastern Time Walid Saad Virginia Tech Towards AI-Native Wireless 6G Systems

8:30 AM Eastern Time Krishna Narayanan Texas A&M University Polar Air : A Low Complexity Compressed Sensing Scheme for Over-the-air Federated learning

9:15 AM Eastern Time Lingjia Liu Virginia Tech Real-Time Machine Learning for MIMO-OFDM: Symbol Detection Using Reservoir Computing

9:45 AM Eastern Time Lei Ying University of Michigan Joint Learning and Resource Allocation in Wireless Networks

10:30 AM Eastern Time Tommaso Melodia Northeastern University OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on Experimental Platforms

11:00 AM Eastern Time Tara Javidi UC San Diego mmWave beam-tracking in face of stochastic mobility

11:45 AM Eastern Time Athina Markopoulou UC Irvine Location Leakage in Federated Signal Maps

12:15 PM Eastern Time Danijela Cabric UC Los Angeles Machine learning assisted millimeter-wave beam training, tracking, and prediction