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ITU-T Y.3103

Business role-based models in IMT-2020

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Organization: ITU-T
Publication Date: 1 September 2018
Status: active
Page Count: 30
scope:

This Recommendation describes business roles, business role-based models and best practice use cases of International Mobile Telecommunications-2020 (IMT-2020) from different relevant perspectives.

This Recommendation can be used as a guideline for design of further IMT-2020 studies from a business point of view, as well as for deployment and operation of IMT-2020 networks.

NOTE - This Recommendation does not identify, in an exhaustive manner, all business roles, business rolebased models and best practice use cases of IMT-2020.

Document History

ITU-T Y.3103
September 1, 2018
Business role-based models in IMT-2020
This Recommendation describes business roles, business role-based models and best practice use cases of International Mobile Telecommunications-2020 (IMT-2020) from different relevant perspectives....

References

This document references:
ITU-T Y.3100 - Terms and definitions for IMT-2020 network
Published by ITU-T on September 1, 2017
This Recommendation contains common terms and definitions to provide a general understanding for IMT-2020 standard documents and a guideline for the development of IMT-2020 related documents. This...
This document references:
ITU-T Y.3502 - Information technology – Cloud computing – Reference architecture
Published by ITU-T on August 1, 2014
This Recommendation | International Standard specifies the cloud computing reference architecture (CCRA). The reference architecture includes the cloud computing roles, cloud computing activities,...
This document is referenced by:
ITU-T Y.3154 - Resource pooling for scalable network slice service management and orchestration in the IMT-2020 network
Published by ITU-T on April 1, 2020
This Recommendation provides an overview of resource pooling for scalable service management and orchestration of end-to-end network slicing. This Recommendation describes the following points on...
This document is referenced by:
ITU-T Y.3156 - Framework of network slicing with AI-assisted analysis in IMT-2020 networks
Published by ITU-T on September 1, 2020
This Recommendation describes the framework for the AI-assisted analysis of network slicing in IMT-2020 networks. The Recommendation supports the whole lifecycle management and orchestration of a...
This document is referenced by:
Y.3182 - Machine learning based end-to-end multi-domain network slice management and orchestration
Published by ITU-T on September 1, 2022
This Recommendation provides the framework and requirements of machine learning based end-to-end network slice management and orchestration in multi-domain environments. It addresses the following...
This document is referenced by:
Y.3183 - Framework for network slicing management assisted by machine learning leveraging quality of experience feedback from verticals
Published by ITU-T on January 1, 2023
This Recommendation provides a framework for machine learning-assisted network slicing leveraging feedback from verticals to improve performance. It addresses the following subjects: • Overview and...
This document is referenced by:
Q.5006 - Signalling requirements for hierarchical network slicing service
Published by ITU-T on July 1, 2023
The scope of this Recommendation consists of: – Overview for hierarchical network slicing service; – Framework for hierarchical network slicing service; – Interfaces reference model for hierarchical...
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