Architectural framework for machine learning in future networks including IMT-2020 |
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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. |
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Citation: |
https://handle.itu.int/11.1002/1000/13894 |
Series title: |
Y series: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities Y.3000-Y.3499: Future networks |
Approval date: |
2019-06-22 |
Provisional name: | Y.IMT2020-ML-Arch |
Approval process: | AAP |
Status: |
In force |
Maintenance responsibility: |
ITU-T Study Group 13 |
Further details: |
Patent statement(s)
Development history
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Ed. |
ITU-T Recommendation |
Status |
Summary |
Table of Contents |
Download |
1
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Y.3172 (06/2019)
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In force
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here
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here
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here
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Title |
Approved on |
Download |
Transport network support of IMT-2020/5G (October 2018)
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2018
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here
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ITU-T Focus Group IMT-2020 Deliverables
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2017
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here
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Multiple radio access technologies
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2012
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here
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Future networks
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2012
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here
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