Join us in exploring how AI is revolutionizing the intelligent management of next-generation networks across land, air, and space

Next-generation networks are increasingly complex, spanning terrestrial, aerial, and space domains while supporting highly dynamic environments like vehicular networks. Traditional network management techniques fall short in coping with the scale, heterogeneity, and agility demanded by 6G and beyond. This tutorial presents a comprehensive overview of AI-assisted intelligent network management frameworks. This tutorial begins by providing a deep dive into the architectural and operational characteristics of modern networking systems. We explore the evolution of vehicular networks (V2X) and the convergence of terrestrial, aerial, and satellite components in future mobile systems. We then pivot to intelligent network management and the critical role of AI and machine learning in enabling scalable, autonomous control.

Attendees will learn how edge intelligence, reinforcement learning, and federated learning can be used to address mobility, latency, and resource allocation challenges in these domains. We also discuss open research challenges around implementation complexity, privacy, and standardization. This tutorial ultimately aims to equip attendees with a holistic understanding of intelligent management in future network systems.