Recommendation ITU-T Y.3183 provides a framework for machine learning-assisted network slicing management, leveraging vertical end users’ feedback on quality of…
Telecom and network-based services
This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…
This Recommendation provides a framework for data handling to enable machine learning (ML) in future networks including International Mobile Telecommunications…
Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…
The WI will provide terms and definitions used within the scope of the ISG ENI, in order to achieve a…
The purpose of the present document is to provide information on different types of AI mechanisms that can be used…
The purpose of this work item is to draft a GS to define the software functional architecture of ENI. This…
This Work Item specifies a framework for use within ETSI ENI ISG to coordinate and promote public demonstrations of Proof…
The present document will describe the motivation, requirements, and challenges of using flow-oriented on-path telemetry techniques which provides relevant measurement…
This Work Item will address the aspects of gradual implementation of networked intelligence and specify a categorization framework for systems…
The purpose of this work item is to specify quantitative evaluation criteria of network autonomicity categories, which is defined in…
The purpose of the present document is to provide information on software design principles for constructing modular systems to be…
