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

Abstract

This recommendation specifies requirements of machine learning based QoS assurance for the international mobile telecommunications 2020 (IMT-2020) network. This recommendation first provides an overview of machine learning based QoS assurance for IMT-2020 network. It includes overview of capabilities for QoS anomaly detection and prediction using machine learning. It then describes a functional model of machine learning based QoS assurance which 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, this recommendation specifies the high level requirements and functional requirements of machine learning based QoS assurance for IMT-2020 network. © ITU 2022 All rights reserved

Scope

This Recommendation specifies requirements for machine learning-based quality of service (QoS) assurance for the IMT-2020 network, covering:

• an overview;
• a functional model;
• high-level requirements;
• functional requirements.

This Recommendation uses machine learning only in the context of QoS assurance. Therefore, any other use of machine learning lies outside the scope of this Recommendation

© ITU 2022 All rights reserved

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