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). This includes:
- 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.External links
References
ITU (2019-08-20). "New ITU standard to introduce Machine Learning into 5G networks". ITU News. Archived from the original on 2021-04-07. Retrieved 2021-04-07. https://news.itu.int/new-itu-standard-machine-learning-5g-networks/ ↩
Ram, Vishnu (2019-11-22). "ITU's work on ML for 5G". IETF (106). Archived from the original on 2021-04-07. Retrieved 2021-04-07. https://datatracker.ietf.org/meeting/106/materials/slides-106-nmrg-sessb-22d-itu-updates-for-ml-in-5g-vishnu ↩
"IEEE COMSOC: ML for IMT 2020 Archives". Technology Blog. 2020-08-31. Archived from the original on 2021-04-08. Retrieved 2021-04-08. https://techblog.comsoc.org/category/ml-for-imt-2020/ ↩