Intelligent Network Management for 6G
May 21, 2026 at 4:00 PM to 5:00 PM
| Location: | Virtual |
| Cost: | Free |
The 6G networks are expected to support a wide range of diverse use cases and applications, along with a significant increase in user data traffic. Artificial intelligence (AI) will be deeply embedded in the design and operation of the networks. Specifically, 6G will transition from an information-centric architecture, which connects people and devices, to intelligence-driven architectures that facilitate seamless data sharing, processing, and mining across devices, the edge, and the cloud within the network. This presentation will examine various aspects of integrating AI into network architecture and operations for intelligent network management and service provisioning. We will introduce a holistic network virtualization architecture designed to support AI functionalities and deliver customized services. Additionally, we will explore meta-learning to address non-stationary system dynamics in network management, with cooperative perception among nearby connected and autonomous vehicles as an application example. We will conclude by discussing the challenges and opportunities associated with network management automation, harnessing the advancements in AI technology.
Weihua Zhuang is a University Professor and a University Research Chair in Electrical and Computer Engineering at the University of Waterloo. Her research focuses on network architecture, algorithms and protocols, and service provisioning in future communication systems. She was the Editor-in-Chief of the IEEE Transactions on Vehicular Technology in 2007–2013, Technical Program Chair/Co-Chair of IEEE Vehicular Technology Conference Fall-2017/2016, and Technical Program Symposia Chair of 2011 IEEE Global Communications Conference. She served as President of the IEEE Vehicular Technology Society in 2023-2024. Dr. Zhuang is a Fellow of the IEEE, Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada.