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Y.3173

Y.3173
Framework for evaluating intelligence levels of future networks including IMT-2020
StatusIn force
Year started2019
Latest version(02/20)
February 2020
OrganizationITU-T
CommitteeITU-T Study Group 13, Focus Group on Machine Learning in 5G
Base standardsY.3172
Related standardsY.3176, Y.3181
Domainmachine learning, 5G
LicenseFreely available
Websitewww.itu.int/rec/T-REC-Y.3173

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

  1. ^ 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.
  2. ^ 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.
  3. ^ "IEEE COMSOC: ML for IMT 2020 Archives". Technology Blog. 2020-08-31. Archived from the original on 2021-04-08. Retrieved 2021-04-08.


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