Abstract
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.
| Original language | English |
|---|---|
| Type | ITU International Standard |
| Media of output | Standard |
| Publisher | The International Telecommunication Union |
| Place of Publication | Geneva, Switzerland |
| Publication status | Published - 23 Jan 2023 |
Keywords
- ML
- network slice
- QoE
- QoS
- vertical feedback
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