Liaison statement
LS (liaison statement) on Results of ITU’s work on machine learning for 5G networks
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State | Posted |
---|---|
Submitted Date | 2019-08-26 |
From Group | ITU-T |
From Contact | Slawomir Stanczak |
To Group | IETF |
To Contacts | The IETF Chair <chair@ietf.org> |
Cc | Scott Mansfield <Scott.Mansfield@Ericsson.com> The IETF Chair <chair@ietf.org> itu-t-liaison@iab.org The IESG <iesg@ietf.org> |
Response Contact | slawomir.stanczak@hhi.fraunhofer.de |
Purpose | For information |
Attachments | ML5G-O-023 |
Body |
1 Architecture Framework for ML5G approved The first deliverable of ITU’s Focus Group on Machine Learning for future entworks including 5G (FG ML5G) was turned into an ITU-T Recommendation (“ITU Standard”) by ITU-T Study Group 13 at its June 2019 meeting: Recommendation ITU-T Y.3172 “Architectural framework for machine learning in future networks including IMT-2020” is now publicly available free of charge here: https://www.itu.int/rec/T-REC-Y.3172/en. Please see also the story in ITU NEWS from 20 August 2019: https://news.itu.int/new-itu-standard-machine-learning-5g-networks/. 2 Further specifications in the approval pipeline of ITU-T SG13 The following specifications from FG ML5G are being processed by ITU-T SG13: • “Machine learning in future networks including IMT-2020: use cases” • “Framework for evaluating intelligence level in future networks including IMT-2020” • “Framework for data handling to enable machine learning in future networks including IMT-2020” The aim is to start the approval process of these deliverables at the ITU-T SG13 meeting in October 2019. 3 Further specifications in FG ML5G FG ML5G is currently working on these specifications: • “Architecture for machine learning marketplace integration in future networks including IMT-2020” (ML5G-I-167) • “Requirements, architecture and design for machine learning function orchestrator” (ML5G-I-150-R1) • “Optimization and deployment framework for machine learning models in future networks including IMT-2020" (ML5G-I-160) 4 Student projects in FG ML5G More than 30 students are currently pursuing some 20 FG ML5G projects. The projects are described here. 5 Future meetings The 7th FG ML5G meeting will take in Berlin, Germany, hosted by Fraunhofer Heinrich Hertz Institute: • 5 November 2019 (Tuesday): ITU workshop “Machine Learning for 5G and beyond” • 6-8 November 2019: 7th meeting of FG ML5G. Detailed information is available here. On 4 November 2019, Fraunhofer Heinrich Hertz Institute organizes a workshop “5G and Beyond”. FG ML5G will have two more meetings in 2020. 6 Participation in FG ML5G activities ITU Focus Groups are open to all interested parties. Membership in ITU is not required. Please join the Focus Group’s mailing list, request access to documents and learn more about its priorities on the group’s homepage. We welcome your input to the deliverables and updates on activities related to ML5G, and look forward to collaborating with you. |