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A set of architectural requirements and specific architectural components needed to satisfy these requirements are presented. This includes i.a., machine learning pipeline as well as machine learning management and orchestration functionalities. Additionally, the standard describes the integration of
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such components into future networks including IMT-2020 as well as guidelines for applying this architectural framework in a variety of technology-specific underlying networks.
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Recommendation specifying an architecture for machine learning in future networks including 5G (IMT-2020). The architecture describes a
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summit the idea for a Focus Group on
Machine Learning for 5G (FG-ML5G) arose, similar to the way the summit gave rise the
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that involves the training of machine learning models, and also the deployment using methods such as
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builds upon Y.3172 by specifying a framework for evaluation intelligence levels of future networks.
202:'SRC' (source): This node is the source of data that can be used as input to the ML pipeline.
295:"Y.3172: Architectural framework for machine learning in future networks including IMT-2020"
214:'P' (policy): This node enables the application of policies to the output of the model node.
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241:(its parent body) for adoption as an ITU-T Recommendation, which happened in June 2019.
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Based on Y.3172 ITU launched an AI/ML 5G Challenge, on implementing this architecture.
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Architectural framework for machine learning in future networks including
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231:AI for Good
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309:2019-07-05
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248:References
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78:Committee
63:June 2019
448:Category
392:Archived
363:Archived
333:Archived
329:ITU News
303:Archived
274:Archived
270:ITU News
149:/T-REC-Y
45:In force
27:IMT-2020
225:History
136:Website
128:License
61:(06/19)
191:Y.3173
162:is an
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114:Domain
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