International Archives - Page 20 of 69

ITU-T Y.3156 (09/2020)

Framework of network slicing with AI-assisted analysis in IMT-2020 networks

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This Recommendation describes the framework for the AI-assisted analysis of network slicing in IMT-2020 networks. The Recommendation supports the whole…

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Last Updated: 19 Jan 2026

ITU-T Y.3175 (04/2020)

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

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This Recommendation specifies a functional architecture of quality of service (QoS) assurance based on machine learning (ML) for the international…

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Last Updated: 19 Jan 2026

Recommendation Y.4471 (05/21)

Functional architecture of network-based driving assistance for autonomous vehicles

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Recommendation ITU-T Y.4471 defines a reference functional architecture of network-based driving assistance (NDA) for autonomous vehicles. It clarifies the concept…

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Last Updated: 19 Jan 2026

ITU-T Y.3173 (02/2020)

Framework for evaluating intelligence levels of future networks including IMT-2020

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Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…

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Last Updated: 19 Jan 2026

ITU-T M.3080 (2021) Err. 1 (05/2021)

Framework of artificial intelligence enhanced telecom operation and management (AITOM); Erratum 1

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This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…

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Last Updated: 19 Jan 2026

ITU-T Y.3183

Framework for network slicing management assisted by machine learning leveraging quality of experience feedback from verticals

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Recommendation ITU-T Y.3183 provides a framework for machine learning-assisted network slicing management, leveraging vertical end users’ feedback on quality of…

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Last Updated: 19 Jan 2026

ISO/IEC 23053:2022 BS ISO/IEC 23053:2022

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

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This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML…

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Last Updated: 19 Jan 2026

ITU-T Y.3174 (02/2020)

Framework for data handling to enable machine learning in future networks including IMT-2020

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This Recommendation provides a framework for data handling to enable machine learning (ML) in future networks including International Mobile Telecommunications…

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Last Updated: 19 Jan 2026

Recommendation P.565 (11/21)

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

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This Recommendation specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…

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Last Updated: 19 Jan 2026

F.746.5 (12/17)

Framework for a language learning system based on speech and natural language processing (NLP) technology

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This Recommendation presents an overview of the framework for a language learning system based on speech and natural language processing…

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Last Updated: 19 Jan 2026

Recommendation F.749.13 (06/21)

Framework and requirements for civilian unmanned aerial vehicle flight control using artificial intelligence

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This Recommendation provides a framework of civilian unmanned aerial vehicle flight control using artificial intelligence (AI), including the flight navigation…

Published

Last Updated: 19 Jan 2026

ITU-T Q.3646 (02/2022)

Framework and protocols for signalling network analysis and optimization in VoLTE

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Recommendation ITU-T Q.3646 specifies the framework, interfaces, protocols, service procedures, AI/ML-assisted functions and security considerations of signalling network analysis and…

Published

Last Updated: 19 Jan 2026

Content Type

Framework of network slicing with AI-assisted analysis in IMT-2020 networks

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

Functional architecture of network-based driving assistance for autonomous vehicles

Framework for evaluating intelligence levels of future networks including IMT-2020

Framework of artificial intelligence enhanced telecom operation and management (AITOM); Erratum 1

Framework for network slicing management assisted by machine learning leveraging quality of experience feedback from verticals

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

Framework for data handling to enable machine learning in future networks including IMT-2020

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

Framework for a language learning system based on speech and natural language processing (NLP) technology

Framework and requirements for civilian unmanned aerial vehicle flight control using artificial intelligence

Framework and protocols for signalling network analysis and optimization in VoLTE

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