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ITU-T - Y.3183

Framework for network slicing management assisted by machine learning leveraging quality of experience feedback from verticals

active, Most Current
Organization: ITU-T
Publication Date: 1 January 2023
Status: active
Page Count: 38
scope:

This Recommendation provides a framework for machine learning-assisted network slicing leveraging feedback from verticals to improve performance. It addresses the following subjects:

• Overview and requirements;

• Framework for machine learning-assisted network slice (NS) management leveraging input from verticals, focusing on QoE feedback;

• Components and APIs in the framework.

An eHealth use case is provided in Appendix I to show an application example of this framework.

Document History

Y.3183
January 1, 2023
Framework for network slicing management assisted by machine learning leveraging quality of experience feedback from verticals
This Recommendation provides a framework for machine learning-assisted network slicing leveraging feedback from verticals to improve performance. It addresses the following subjects: • Overview and...

References

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