| Weihua Zhuang |
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Title: Intelligent Network Management for 6G Networks Speaker: Weihua Zhuang, University of Waterloo, Canada Abstract The
future 6G networks are expected to support diverse new use cases and to
meet strict service quality requirements, with high system complexity.
In this presentation, we will provide an overview of two potential
approaches to intelligent and automatic network control. First, we
discuss an artificial intelligence (AI)-native network slicing
architecture for space-air-ground integrated networks to enable the
synergy of AI and network slicing, thereby facilitating intelligent
network management and supporting emerging AI services. Second, we
discuss model-assisted distributed learning for adaptive cooperative
perception in autonomous driving in a spatio-temporal nonstationary
vehicular environment. We present a digital twin assisted two-tier
learning framework for practical implementation of the meta learning
algorithms. Numerical results are presented to demonstrate the
effectiveness of the proposed framework. Biography Weihua Zhuang is
a University Professor and a Tier I Canada Research Chair in Wireless
Communication Networks at University of Waterloo, Canada. 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 from
2007 to 2013, General Co-Chair of 2021 IEEE/CIC International Conference
on Communications in China (ICCC), Technical Program Chair/Co-Chair of
2017/2016 IEEE VTC Fall, and Technical Program Symposia Chair of 2011
IEEE Globecom. She is the President and an elected member of the Board
of Governors of the IEEE Vehicular Technology Society. Dr. Zhuang is a
Fellow of the IEEE, Royal Society of Canada, Canadian Academy of
Engineering, and Engineering Institute of Canada.
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