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Architectural framework for machine learning in future networks including IMT-2020

Last updated: 7 Jan 2025

Development Stage

Pre-draft

Draft

Published

22 Jun 2019

Abstract

Recommendation ITU-T Y.3172 specifies an architectural framework for machine learning (ML) in future networks including IMT-2020. A set of architectural requirements and specific architectural components needed to satisfy these requirements are presented. These components include, but are not limited to, an ML pipeline as well as ML management and orchestration functionalities. The integration of such components into future networks including IMT-2020 and guidelines for applying this architectural framework in a variety of technology-specific underlying networks are also described. © ITU 2022 All rights reserved

Scope

This Recommendation specifies an architectural framework for machine learning in future networks including IMT-2020. A set of architectural requirements is presented, which in turn leads to specific architectural components needed to satisfy these requirements. This Recommendation also describes an architectural framework for the integration of such components into future networks including IMT-2020 and guidelines for applying this architectural framework in a variety of technology specific underlying networks. © ITU 2022 All rights reserved

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Organisation: ITU
Free to access: Yes

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