5G/B5G Service Classification Using Supervised Learning

The classification of services in 5G/B5G (Beyond 5G) networks has become important for telecommunications service providers, who face the challenge simultaneously offering a better Quality Service (QoS) their and Experience (QoE) to users. allows 5G providers accurately select network slices each service, thereby improving QoS QoE perceived by users, ensuring compliance with Level Agreement (SLA). Some projects have developed systems classifying these based on Key Performance Indicators (KPIs) that characterize different services. However, (KQIs) are also significant networks, although generally not considered. We propose classifier uses Machine Learning (ML) approach Supervised (SL) improve support distribution resources traffic over networks. carry out simulations our proposed scheme using SL algorithms, first KPIs alone then incorporating KQIs show latter achieves prediction, an accuracy 97% Matthews correlation coefficient 96.6% Random Forest classifier.