ITU-T Y Supplement 55
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 International Telecommunication Union
ITU-T L Supplement 43
Smart energy saving of 5G base stations: Traffic forecasting and strategy optimization of 5G wireless network energy consumption based on artificial intelligence and other emerging technologies
This Supplement examines energy-saving technology for fifth generation (5G) base stations (BSs). Some energy-saving technologies developed since the fourth generation…
ITU-T J.1600
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 L Supplement 41
Requirements on energy efficiency measurement models and the role of artificial intelligence and big data
Energy efficiency is a crucial issue for the sustainability of cities, today and in the future, especially due to the…
ITU-T F.749.4
Use cases and requirements for multimedia communication enabled vehicle systems using artificial intelligence
This Recommendation specifies use cases and requirements for multimedia communication enabled vehicle systems using artificial intelligence, including overview, use cases,…
ITU-T F.748.13
Technical framework for the shared machine learning system
This Recommendation defines the roles, technical and security requirements of a shared machine learning system, and provides technical architectures, functional…
ITU-T F Supplement 4
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…
