Requirements for machine learning– based quality of service assurance for the IMT -2020 Network

Recommendation ITU-T Y.3170 specifies requirements for machine learning-based quality of service (QoS) assurance for the International Mobile Telecommunications 2020 (IMT-2020) network.

Recommendation ITU-T Y.3170 first provides an overview of machine learning-based QoS assurance for the IMT‑2020 network. Recommendation ITU-T Y.3170 includes an overview of capabilities for QoS anomaly detection and prediction using machine learning. Recommendation ITU-T Y.3170 then describes a functional model of machine learning-based QoS assurance that includes functional components such as QoS data collection; data pre-processing; data storage, modelling and training; QoS anomaly detection and prediction; QoS policy decision making; enforcement; and reporting. Based on the capabilities and functionalities described in the functional model, Recommendation ITU-T Y.3170 specifies high-level requirements and functional requirements for machine learning-based QoS assurance for the IMT-2020 network.