ITU-T F.748.12
Deep learning software framework evaluation methodology
A deep learning software framework provides an easy and fast way for manufactures to develop their own artificial intelligence (AI)…
Telecom and network-based services
ETSI EG 203341 V 1.1.1
Core Network and Interoperability Testing (INT) – Approaches for Testing Adaptive Networks
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.…
ETSI TR 103748 V 1.1.1
Core Network and Interoperability Testing (INT) – Artificial Intelligence (AI) in Test Systems and Testing of AI Models – Use and Benefits of AI Technologies in Testing
The present document provides guidance on the use of AI technologies applied to testing. © Copyright 2023, ETSI
Recommendation ITU-T Y.3654 specifies the mechanisms of machine learning in big data driven networking (bDDN). A set of related aspects…
ITU-T M.3382
Requirements for work order processing in telecom management with artificial intelligence
Recommendation ITU-T M.3382 provides the requirements for work order processing in telecom management with artificial intelligence (AI). Based on AI…
ITU-T Y.3180
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 M.3381
Requirements for energy saving management of 5G radio access network (RAN) systems with artificial intelligence (AI)
Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence…
Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that…
ETSI TS 103194 V 1.1.1
Network Technologies (NTECH) – Autonomic network engineering for the self-managing Future Internet (AFI) – Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet
Transformation of ETSI GS AFI 001: Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet, to a Technical Specification (TS),…
ETSI GR NFV-IFA 012 V 3.1.1
Network Functions Virtualisation (NFV) Release 3 – Management and Orchestration – Report on Os-Ma-Nfvo reference point – application and service management use cases and recommendations
This work item will entail work to specify the use cases and the corresponding recommendations that will guide the evolution…
ETSI GR ENI 003 V 1.1.1
Experiential Networked Intelligence (ENI) – Context-Aware Policy Management Gap Analysis
A critical foundation of experiential networked intelligence is context- and situation-awareness. This WI will analyse work done in various SDOs…
