| Framework for data handling to enable machine learning in future networks including IMT-2020 |
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Recommendation ITU-T Y.3174 describes a framework for data handling to enable machine learning in future networks including International Mobile Telecommunications (IMT)-2020. The requirements for data collection and processing mechanisms in various usage scenarios for machine learning in future networks including IMT-2020 are identified along with the requirements for applying machine learning output in the machine learning underlay network. Based on this, a generic framework for data handling and examples of its realization on specific underlying networks are described. |
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ITU-T Recommendation |
Status |
Summary |
Table of Contents |
Download |
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1
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Y.3174 (02/2020)
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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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ITU-T Supplement
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Title
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Status
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Summary
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Table of contents
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Download
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Y Suppl. 55 (10/2019)
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ITU-T Y.3170-series – Machine learning in future networks including IMT-2020: use cases
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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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Y Suppl. 56 (12/2019)
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ITU-T Y-series – Supplement on use cases of smart cities and communities
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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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Y Suppl. 58 (12/2019)
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Internet of things and smart cities and communities standards roadmap
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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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Y Suppl. 59 (03/2020)
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ITU-T Y.3100-series – IMT-2020 standardization roadmap
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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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Y Suppl. 64 (07/2020)
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ITU-T Y.3100-series – Awareness on use cases and migration aspects of IMT-2020
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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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Y Suppl. 44 (07/2017)
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Standardization and open source activities related to network softwarization of IMT-2020
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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 |
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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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