Recommendation ITU-T F.742.1 describes application scenarios and requirements for smart class system based on artificial intelligence, including application scenarios, service…
ITU International Telecommunication Union
ITU-T Y.3170 (09/2018)
Requirements for machine learning-based quality of service assurance for the IMT-2020 network
This recommendation specifies requirements of machine learning based QoS assurance for the international mobile telecommunications 2020 (IMT-2020) network. This recommendation…
Recommendation ITU-T M.3383 introduces the requirements for log analysis in telecom management with artificial intelligence (AI) and includes a functional…
ITU-T Y.4470 (08/2020)
Reference architecture of artificial intelligence service exposure for smart sustainable cities
This Recommendation establishes the concept of artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs). The scope of this…
ITU-T Y.3811 (09/2022)
Quantum key distribution networks – Functional architecture for quality of service assurance
Recommendation ITU-T Y.3811 specifies the functional architecture of quality of service (QoS) assurance for the quantum key distribution networks (QKDNs).…
ITU-T Y.3812 (09/2022)
Quantum key distribution networks – Requirements for machine learning based quality of service assurance
Recommendation ITU-T Y.3812 specifies high-level and functional requirements of machine learning (ML) based quality of service (QoS) assurance for quantum…
Q.5023 (08/21)
Protocol for managing intelligent network slicing with AI-assisted analysis in IMT-2020 networks
This Recommendation specifies the protocol for managing intelligent network slicing with AI-assisted network analysis function in IMT-2020 networks. It describes…
J.1600 (10/19)
Premium cable network platform – Framework
This Recommendation supports the automation of the operation and maintenance for cable TV and broadband networks, typically the hybrid fibre…
ITU-T F Suppl. 4 (04/2021)
Overview of convergence of artificial intelligence and blockchain
This Supplement provides an overview of the convergence of artificial intelligence and blockchain, and provides a technical reference for the…
Y.3180 (02/22)
Mechanism of traffic awareness for application-descriptor-agnostic traffic based on machine learning
Recommendation ITU-T Y.3180 specifies the mechanism of traffic awareness for application_x0002_descriptor-agnostic traffic based on machine learning. This Recommendation specifies the…
ITU-T P.565 (11/2021)
Machine learning model for the assessment of transmission network impact on speech quality for mobile packet-switched voice services
Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that…
