IN THIS SESSION... This talk will focus on how the physical layer can be thought of as a data-driven machine learning problem, and what this means for better radio and gNB performance in today’s systems. We’ll also discuss how this could more deeply impact future, beyond 5G radio waveform and protocol design to further increase efficiency and density. We’ll provide an overview of the work we’ve been doing at DeepSig and at Virginia Tech in order to help realize these visions and discuss other areas where AI/ML techniques hold enormous promise in helping to optimize future wireless systems.