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Abstract: The sixth-generation (6G) communication networks are anticipated to enable a variety of innovative applications and provide extreme connectivity for mobile devices. To meet the evolving service demands in highly dynamic network environments, mobile edge computing (MEC) and artificial intelligence (AI) will be two pivotal technologies in 6G. MEC extends computing and storage capabilities within radio access networks, coping with the increasing computing demands from mobile users. Meanwhile, AI facilitates intelligent resource management by enabling network entities to learn and build knowledge about network dynamics. In this talk, we will explore AI-assisted resource management for MEC-enabled networks, addressing the computing challenges caused by device mobility and heterogeneity. We will introduce two AI-assisted resource management approaches, each tailored to support a representative MEC use case: the Internet of Vehicles and mobile virtual reality video streaming. Finally, we will outline a future research plan focused on holistic network virtualization through digital twin technologies, aimed at further enhancing the flexibility and efficiency of AI-assisted network management towards 6G.

Biography: Dr. Mushu Li received her Ph.D. degree in electrical and computer engineering from the University of Waterloo, Canada, in 2021. She is currently a Postdoctoral Fellow at Toronto Metropolitan University, Canada, from 2022. She was a Postdoctoral Fellow with the University of Waterloo from 2021 to 2022.  Dr. Li was a recipient of the NSERC Postdoctoral Fellowship (NSERC PDF) in 2022, the University Finalist for the Alumni Gold Medal in 2021, and the NSERC Canada Graduate Scholarship-Doctoral (NSERC CGS-D) in 2018.  Her research interests include machine learning in wireless networks, resource management for next-generation networks, and mobile edge computing.

 

Light refreshments will be served.

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