Summary

At present, the standardization of IMT-2020 networks aims at dealing with architectural issues (infrastructure and new services), analysing and ensuring signalling at the management level and ensuring the quality and security of IoT services. As is well known, according to ITU-R Recommendation ITU-R M.2083-0 "IMT Vision – Framework and overall objectives of the future development of IMT for 2020 and beyond", one of the IMT-2020 infrastructure technologies is software-defined networking (SDN). Given the heterogeneous nature of the traffic, it is necessary to ensure efficient and effective infrastructure management. With a view to increasing the effectiveness of the automation of management, the use of artificial intelligence (AI) technologies needs to be considered for traffic detection and typization. In this way, Recommendation ITU-T Y.3116 considers an overview of machine learning (ML) technologies for traffic detection and a method for the traffic typization and recognition for IMT-2020 management based on an ML approach.