|
Work item:
|
Y.3174 (ex Y.ML-IMT2020-Data-Handling)
|
|
Subject/title:
|
Framework for data handling to enable machine learning in future networks including IMT-2020
|
|
Status:
|
Approved on 2020-02-06
|
|
Approval process:
|
AAP
|
|
Type of work item:
|
Recommendation
|
|
Version:
|
New
|
|
Equivalent number:
|
-
|
|
Timing:
|
-
|
|
Liaison:
|
ITU-T SG 11
|
|
Supporting members:
|
China Mobile (China), ZTE (China), Turkcell (Turkey)
|
|
Summary:
|
A framework for data handling to enable machine learning in future networks including IMT-2020 is described in this Recommendation. 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.
|
|
Comment:
|
Based on the FG-ML5G Deliverables
|
|
Reference(s):
|
|
|
Historic references:
|
|
Contact(s):
|
|
| ITU-T A.5 justification(s): |
|
|
|
|
First registration in the WP:
2019-07-10 14:29:34
|
|
Last update:
2022-01-21 09:51:01
|
