Asia-Pacific Network Operations and Management Symposium
Machine Learning Approach for Automatic Configuration and Management of 5G Platforms
Talha Ahmed Khan, Asif Mehmood, Javier Jose Diaz Rivera, Wang-Cheol Song,
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The automatic control over the network platforms is an esteem requirement of the operators. Recently, 5G with its aim to attain the internet of everything, it challenged researchers for the achievement of automatic control over the network platform. Furthermore, the 5G system consists of multi-domain network applications and platforms which make it complex to control and configure the network. Hence, the focus of this research is to enable easy configuration through high-level instructions and the use of machine learning for automatic control over the network infrastructure. The overall system consists of Intent-Base application that includes a machine learning model and it configures and controls the M-CORD-based network slicing test-bed.