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5G Smart Networks Part II: Digital Twin for Network Slicing



In the second video of the series, Dr Natalie Whitehead finds out from the University of Exeter research team about their work in designing a digital twin of the 5G and B5G (beyond 5G) networks, which is currently focused on network slicing.

To find out more, check out the website we’ve created for this research team:

This educational video is funded through the team’s research grant as part of our Public Engagement Programmes (https://exetersciencecentre.org/help/researchers-info/#impact) to help share their research with the public.

— Chapters —
00:00 Introduction
00:23 What is a digital twin (DT)?
00:38 How would a DT be useful for 5G networks?
00:55 Challenges with making network DT
01:32 How can machine learning help? Meet the academics.
01:46 Dr Yulei Wu: How are you using machine learning to design the network DT?
02:33 Dr Haozhe Wang: What is a Graph Neural Network (GNN)?
03:06 Dr Haozhe Wang: Digital twin for network slicing.
03:42 Dr Yulei Wu: What are the next steps with this research?
04:40 Summary

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