| Requirements for machine learning-based quality of service assurance for the IMT-2020 network |
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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.
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| Citation: |
https://handle.itu.int/11.1002/1000/13691 |
| 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: |
2018-09-29 |
| Provisional name: | Y.qos-ml |
| Approval process: | AAP |
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Status: |
In force |
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Maintenance responsibility: |
ITU-T Study Group 13 |
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Further details: |
Patent statement(s)
Development history
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| Ed. |
ITU-T Recommendation |
Status |
Summary |
Table of Contents |
Download |
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1
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Y.3170 (09/2018)
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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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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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