报告题目：IntelligentNetwork Management for 6G
报告人：Weihua Zhuang University Professor and a University Research Chair in Electricaland Computer Engineering at University of Waterloo, Canada
报告时间：2025年5月16日10:30
报告地点：三牌楼校区科学会堂二楼报告厅
报告摘要：
The6G networks are expected to support a wide range of diverse use cases andapplications, along with a significant increase in user data traffic.Artificial intelligence (AI) will be deeply embedded in the design andoperation of the networks. Specifically, 6G will transition from aninformation-centric architecture, which connects people and devices, tointelligence-driven architectures that facilitate seamless data sharing,processing, and mining across devices, the edge, and the cloud within thenetwork. This presentation will examine various aspects of integrating AI intonetwork architecture and operations for intelligent network management andservice provisioning. We will introduce a holistic network virtualizationarchitecture designed to support AI functionalities and deliver customizedservices. Additionally, we will discuss cluster-based parallel split learningfor edge AI, aimed at overcoming computing resource limitations on end devicesand enhancing user data security. Furthermore, we will explore meta-learning toaddress non-stationary system dynamics in network management, with cooperativeperception among nearby connected and autonomous vehicles as an applicationexample. We will conclude by discussing the challenges and opportunities associatedwith network management automation, harnessing the advancements in AItechnology.
