This Recommendation provides a framework for data handling to enable machine learning (ML) in future networks including International Mobile Telecommunications…
Interface and architecture
Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…
The purpose of this work item is to draft a GS to define the software functional architecture of ENI. This…
The present document will describe the motivation, requirements, and challenges of using flow-oriented on-path telemetry techniques which provides relevant measurement…
The purpose of the present document is to provide information on prominent control loop architectures that can be used in…
This Work Item will address the aspects of gradual implementation of networked intelligence and specify a categorization framework for systems…
The purpose of the present document is to provide information on software design principles for constructing modular systems to be…
This document will discuss various design options, in terms of a set of new stand-alone and/or nested Functional Blocks, for…
This Recommendation describes the functional entities and architecture for emotion enabled multimodal user interface based on artificial neural networks. In…
This document specifies requirements for the exchange of messages that contain master data consisting of characteristic data. These requirements can…
This Recommendation describes specifications of a data centre infrastructure management (DCIM) system based on big data and artificial intelligence (AI)…
The characteristics of ‘adaptive networks’ such as virtualization, self-organization, self-configuration, self-optimization, self-healing and self-learning offer huge advantages in future networks.…
