Committed to connecting the world

  •  
wtisd

ITU-T work programme

[2017-2020] : [SG13] : [Q20/13]

[Declared patent(s)]

Work item: Y.ML-IMT2020-VNS
Status: [Carried to next study period]
Approval process: AAP
Type of work item: Recommendation
Version: New
Provisional name: Y.ML-IMT2020-VNS
Equivalent number: -
Timing: -
Liaison: ITU-T SG9, ITU-T SG16, ETSI ENI, ETSI ZSM
Supporting members: Orange, IBM, Altice (MEO Serviços de Comunicações)
Subject/title: Framework for network slicing management enabled by machine learning including input from verticals
Summary: This draft Recommendation provides a framework for network slice management enabled by machine learning including input from verticals, in order to ensure end-to-end quality of experience. The scope of this document includes: - Framework for network slice management enabled by machine learning including input from verticals - Supporting APIs - Use cases
Comment: Based on the FG-ML5G Deliverables
Base text(s):
Contact(s):
Qi Wang, Editor
José Cabaça, Editor
ITU-T A.5 reference(s):
Generate A.5 drat TD
-
[Submit new A.5 reference ]
See guidelines for creating & submitting ITU-T A.5 justifications
First registration in the WP: 2020-08-04 17:28:41
Last update: 2022-01-20 13:00:59