Recommendation ITU-T P.1402 introduces machine-learning techniques and their application for quality of service (QoS) and quality of experience (QoE) prediction…
ITU International Telecommunication Union
ITU-T Y.3178 (07/2021)
Functional framework of artificial intelligence-based network service provisioning in future networks including IMT-2020
This Recommendation specifies a functional framework for network service provisioning based on artificial intelligence (AI) in future networks, including international…
ITU-T H.862.6
Functional requirements for counselling services based on artificial emotional intelligence
Recommendation Y.4471 (05/21)
Functional architecture of network-based driving assistance for autonomous vehicles
Recommendation ITU-T Y.4471 defines a reference functional architecture of network-based driving assistance (NDA) for autonomous vehicles. It clarifies the concept…
ITU-T Y.3156 (09/2020)
Framework of network slicing with AI-assisted analysis in IMT-2020 networks
This Recommendation describes the framework for the AI-assisted analysis of network slicing in IMT-2020 networks. The Recommendation supports the whole…
ITU-T Y.3175 (04/2020)
Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network
This Recommendation specifies a functional architecture of quality of service (QoS) assurance based on machine learning (ML) for the international…
Recommendation ITU-T Y.3183 provides a framework for machine learning-assisted network slicing management, leveraging vertical end users’ feedback on quality of…
ITU-T Y.3173 (02/2020)
Framework for evaluating intelligence levels of future networks including IMT-2020
Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…
ITU-T M.3080 (2021) Err. 1 (05/2021)
Framework of artificial intelligence enhanced telecom operation and management (AITOM); Erratum 1
This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…
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
This Recommendation specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…
ITU-T Y.3174 (02/2020)
Framework for data handling to enable machine learning in future networks including IMT-2020
This Recommendation provides a framework for data handling to enable machine learning (ML) in future networks including International Mobile Telecommunications…
F.746.5 (12/17)
Framework for a language learning system based on speech and natural language processing (NLP) technology
This Recommendation presents an overview of the framework for a language learning system based on speech and natural language processing…
