AAP Recommendation

Y.3183: Framework for network slicing management assisted by machine learning leveraging QoE feedback from verticals

Study Group
13

Study Period
2022-2024

Consent Date
2022-11-25

Approval Date
2023-01-13

Provisional Name
Y.ML-IMT2020-VNS

Input used for Consent
SG13-TD173/WP1 (2022-11)

Status
A

IPR
Site

This Recommendation provides a framework for machine learning assisted network slicing management, leveraging vertical end users’ feedback on QoE, which can help achieve run-time optimisation of user perceived performance. The overall architecture, components, workflow and related APIs of this framework are specified with respect to the high-level requirements identified. A use case is provided in appendix to show an application example of this framework. Example implementations of the key APIs are also provided.

AAP Current Status
Step # Action
Start / End
Status Announcement Related documents Comments / Resolution logs