Y.3173 Explained
| Y.3173 |
| Long Name: | Framework for evaluating intelligence levels of future networks including IMT-2020 |
| Status: | In force |
| Year Started: | 2019 |
| Version: | (02/20) |
| Version Date: | February 2020 |
| License: | Freely available |
Y.3173 is an ITU-T Recommendation building upon Y.3172 specifying a framework for evaluation intelligence levels of future networks such as 5G (IMT-2020).[1] This includes:[2] [3]
- Development trend of network intelligence
- Methods for evaluating network intelligence levels
- Architectural view for evaluating network intelligence levels
The standard addresses issue in Operation, Administration and Maintenance (OAM) of IMT-2020 networks such as:
- diversified network deployment scenarios are
- diversified terminals, such as in Internet of things (IoT)
- manual decision-making mechanisms
- mechanisms analysing large amounts of network
- network connectivity among UEs
- decoupling of software from the hardware in networks
- transition towards a service-based intelligent network
Network intelligence is defined as:
Level of application of automation capabilities including those enabled by the integration of artificial intelligence techniques in the network.
References
- Web site: ITU. 2019-08-20. New ITU standard to introduce Machine Learning into 5G networks. live. https://web.archive.org/web/20210407135021/https://news.itu.int/new-itu-standard-machine-learning-5g-networks/. 2021-04-07. 2021-04-07. ITU News. english.
- Web site: Ram. Vishnu. 2019-11-22. ITU's work on ML for 5G. live. https://web.archive.org/web/20210407160452/https://datatracker.ietf.org/meeting/106/materials/slides-106-nmrg-sessb-22d-itu-updates-for-ml-in-5g-vishnu. 2021-04-07. 2021-04-07. IETF (106).
- Web site: 2020-08-31. IEEE COMSOC: ML for IMT 2020 Archives. live. https://web.archive.org/web/20210408093957/https://techblog.comsoc.org/category/ml-for-imt-2020/. 2021-04-08. 2021-04-08. Technology Blog. en-US.
External links
