| Framework for evaluating intelligence levels of future networks including IMT-2020 | |
 | |
| Status | In force |
|---|---|
| Year started | 2019 |
| Latest version | (02/20) February 2020 |
| Organization | ITU-T |
| Committee | ITU-T Study Group 13, Focus Group on Machine Learning in 5G |
| Base standards | Y.3172 |
| Related standards | Y.3176, Y.3181 |
| Domain | machine learning, 5G |
| License | Freely available |
| Website | www |
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.
- ^ 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.
- ^ 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.
- ^ "IEEE COMSOC: ML for IMT 2020 Archives". Technology Blog. 2020-08-31. Archived from the original on 2021-04-08. Retrieved 2021-04-08.