Webinar: AI/ML in 5G Advanced and 6G Wireless Networks: The Promises and Pitfalls

The ambition of providing ubiquitous, fast and mobile communication services to all types of devices, such as handheld, vehicular and IoT, has resulted in tremendous complexity in our wireless networks, and the trend is only likely to accelerate. As a result, it is becoming exponentially harder to create good analytical models to describe the behavior of systems. The situation is ripe for the utilization of machine learning and deep learning-based solutions. Artificial Intelligence and Machine Learning (AI/ML) approaches are being attempted or postulated in almost all subsystems of the network, and in all stages of the network lifecycle. There are some major challenges that emerge in this new paradigm, from the R&D, operational as well as from the performance characterization and testing points of view. In this talk we take a bird’s eye tour of the AI/ML landscape in wireless networks.

Co-sponsored by: IEEE Future Networks

Speaker(s): Dr. Balaji Raghothaman

Virtual: https://events.vtools.ieee.org/m/381653