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Work item:
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Y.3170 (ex Y.qos-ml)
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Subject/title:
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Requirements of machine learning based QoS assurance for IMT-2020 network
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Status:
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Approved on 2018-09-29
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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architectural framework
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Supporting members:
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-
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Summary:
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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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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2017-07-24 15:34:49
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Last update:
2018-10-12 17:31:02
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