Telecom and network-based services Archives - Page 3 of 11

ITU-T Y Supplement 55

ITU-T Y.3170-series – Machine learning in future networks including IMT-2020: use cases

See more details

Process, management and governance Product and performance requirements

This Supplement analyses use cases for machine learning in future networks including IMT-2020, and presents them in a unified format.…

Published

Last Updated: 18 Jul 2024

ITU-T Y Supplement 70

ITU-T Y.3800-series – Quantum key distribution networks – Applications of machine learning

See more details

Telecom and network-based services AI-specific Process, management and governance See more

This Supplement presents the applications of machine learning (ML) in quantum key distribution networks (QKDNs). In particular, this Supplement includes:…

Published

Last Updated: 18 Jul 2024

ITU-T P.1402

Guidance for the development of machine-learning-based solutions for QoS/QoE prediction and network performance management in telecommunication scenarios

See more details

Telecom and network-based services AI-specific System architecture Process, management and governance See more

Recommendation ITU-T P.1402 introduces machine-learning techniques and their application for quality of service (QoS) and quality of experience (QoE) prediction…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3175

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

See more details

Telecom and network-based services AI-specific System architecture Interface and architecture See more

This Recommendation specifies a functional architecture of quality of service (QoS) assurance based on machine learning (ML) for the international…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3178

Functional framework of artificial intelligence-based network service provisioning in future networks including IMT-2020

See more details

Telecom and network-based services AI-specific Interoperability System architecture

Interface and architecture Process, management and governance

This Recommendation specifies a functional framework for network service provisioning based on artificial intelligence (AI) in future networks, including international…

Published

Last Updated: 18 Jul 2024

ITU-T M.3080

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

See more details

Telecom and network-based services AI-specific Project management Security and resilience

System architecture System quality Interface and architecture Process, management and governance

This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…

Published

Last Updated: 18 Jul 2024

ITU-T P.565

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

See more details

Telecom and network-based services AI-specific Accuracy and performance System architecture

Measurement and test methods Process, management and governance Product and performance requirements

This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3173

Framework for evaluating intelligence levels of future networks including IMT-2020

See more details

Telecom and network-based services AI-specific System architecture System quality

Interface and architecture Measurement and test methods

Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3174

Framework for data handling to enable machine learning in future networks including IMT-2020

See more details

Telecom and network-based services AI-specific Data collection Data management

Data processing Interoperability System architecture Interface and architecture Process, management and governance

This Recommendation provides a framework for data handling to enable machine learning (ML) in future networks including International Mobile Telecommunications…

Published

Last Updated: 18 Jul 2024

ETSI GR ENI 004 V 1.1.1

Experiential Networked Intelligence (ENI) – Terminology for Main Concepts in ENI

See more details

Telecom and network-based services AI-specific Foundational and terminology See more

The WI will provide terms and definitions used within the scope of the ISG ENI, in order to achieve a…

Published

Last Updated: 18 Jul 2024

ETSI GR ENI 017 V 2.1.1

Experiential Networked Intelligence (ENI) – Overview of Prominent Control Loop Architectures

See more details

Energy Telecom and network-based services AI-specific System architecture

Interface and architecture

The purpose of the present document is to provide information on prominent control loop architectures that can be used in…

Published

Last Updated: 18 Jul 2024

ETSI GR ENI 018 V 2.1.1

Experiential Networked Intelligence (ENI) – Introduction to Artificial Intelligence Mechanisms for Modular Systems

See more details

Telecom and network-based services AI-specific Bias and discrimination Foundational and terminology See more

The purpose of the present document is to provide information on different types of AI mechanisms that can be used…

Published

Last Updated: 18 Jul 2024

Content Type

ITU-T Y.3170-series – Machine learning in future networks including IMT-2020: use cases

ITU-T Y.3800-series – Quantum key distribution networks – Applications of machine learning

Guidance for the development of machine-learning-based solutions for QoS/QoE prediction and network performance management in telecommunication scenarios

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

Functional framework of artificial intelligence-based network service provisioning in future networks including IMT-2020

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

Framework for evaluating intelligence levels of future networks including IMT-2020

Framework for data handling to enable machine learning in future networks including IMT-2020

Experiential Networked Intelligence (ENI) – Terminology for Main Concepts in ENI

Experiential Networked Intelligence (ENI) – Overview of Prominent Control Loop Architectures

Experiential Networked Intelligence (ENI) – Introduction to Artificial Intelligence Mechanisms for Modular Systems

Report abuse

Report submitted

Provide feedback on the site

Feedback submitted

Submit a missing item

Feedback submitted