QT-Routenet: Improved GNN generalization to larger 5G networks by fine-tuning predictions from queueing theory. (arXiv:2207.06336v1 [cs.NI])

In order to promote the use of machine learning in 5G, the International
Telecommunication Union (ITU) proposed in 2021 the second edition of the ITU
AI/ML in 5G challenge, with over 1600 participants from 82 countries. This work
details the second place solution overall, which is also the winning solution
of the Graph Neural Networking Challenge 2021. We tackle the problem of
generalization when applying a model to a 5G network that may have longer paths
and larger link capacities …

5g arxiv fine-tuning networks predictions theory