An SDN NFV Proof-of-Concept Test-bed for ML-based Ntework Management.pdf (997.6 kB)
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posted on 2021-05-04, 13:59 authored by Wei JiangWei Jiang, Mathias Strufe, Michael Gundall, Hans Dieter SchottenComplexity and heterogeneity of the fifth
generation (5G) and beyond mobile systems impose a great challenge on current network
managing approaches, which are vulnerable, time-consuming and costly. The
state-of-the-art research direction in this field is to apply machine learning
(ML) techniques to realize intelligent and highly self-organized networking. Unlike
the physical layer, theoretical analyses and numerical simulations on the
management layer are generally infeasible or not
scientifically rigorous enough. Therefore, in this paper, we present a
software-defined and virtualized wireless test-bed that is established to
evaluate ML-based network management. Based on open-source software and
off-the-shelf hardware, this test-bed is easily reproducible, which in turn is
hopeful to foster innovative works in this field.