International
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…
ISO 21505:2017
BS ISO 21505:2017
Project, programme and portfolio management — Guidance on governance
ISO 21505:2017 describes the context in which the governance of projects, programmes and portfolios is conducted and provides guidance for…
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 Y.3176 (09/2020)
Machine learning marketplace integration in future networks including IMT-2020
This Recommendation provides high-level requirements and the architecture for integration of ML marketplaces in future networks including IMT-2020. The scope…
ISO/IEC/IEEE 42030:2019
BS ISO/IEC/IEEE 42030:2019
Software, systems and enterprise. Architecture evaluation framework
What is ISO/IEC/IEEE 42030 – Architecture evaluation framework about ? ISO/IEC/IEEE 42030 specifies the means to organize and record architecture evaluations…
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…
ITU-T Y.3182 (09/2022)
Machine learning based end-to-end multi-domain network slice management and orchestration
Recommendation ITU-T Y.3182 describes an intelligent cost-effective network management and orchestration framework that can cope with the challenges of multi-domain…
ITU-T Y Suppl. 55 (10/2019)
ITU-T Y.3170-series – Machine learning in future networks including IMT-2020: use cases
This Supplement analyses use cases for machine learning in future networks including IMT-2020, and presents them in a unified format.…
ITU-T Y Suppl. 70 (07/2021)
ITU-T Y.3800-series – Quantum key distribution networks – Applications of machine learning
This Supplement presents the applications of machine learning (ML) in quantum key distribution networks (QKDNs). In particular, this Supplement includes:…
