Mushu of Lehigh University

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, artificial intelligence (AI) will be a pivotal technology in 6G, not only for network management but also for intelligent network applications. Data management will be key to empowering AI within the network, which suggests that digital twins would be a crucial component in the 6G architecture, enabling controllable and scalable data collection and analysis by digitally modeling network entities. In this talk, I will provide a high-level overview of digital twins for network management, reviewing how they will be created, updated, and operated within the existing network slicing-based architecture. Then, I will present a case study on digital twin-empowered resource allocation for collaborative sensing in industrial IoT, demonstrating the effectiveness of a holistic network virtualization architecture in improving data collection efficiency in network management.

Biography:

Mushu Li is an Assistant Professor in the Department of Computer Science and Engineering at Lehigh University. She obtained her Ph.D. degree from the Department of Electrical and Computer Engineering, University of Waterloo, in 2021. Before joining Lehigh University, she was an NSERC Postdoctoral Fellow with Toronto Metropolitan University and a Postdoctoral Fellow with the University of Waterloo. Her research interests include machine learning for communications and networking, cloud and multi-access edge computing, Intelligent Internet of Things (IoT) and Edge AI, and next-generation (6G) wireless networks in general.

Email:

Address:113 Research Drive Mountaintop Campus , , Bethlehem, Pennsylvania, United States, 18015