ITU International Telecommunication Union Archives - Page 3 of 12

ITU-T Y.4470

Reference architecture of artificial intelligence service exposure for smart sustainable cities

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Interoperability Sustainability System architecture Interface and architecture Process, management and governance

This Recommendation establishes the concept of artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs). The scope of this…

Published

Last Updated: 18 Jul 2024

ITU-T M.3381

Requirements for energy saving management of 5G radio access network (RAN) systems with artificial intelligence (AI)

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

Interoperability Sustainability System architecture Process, management and governance Product and performance requirements

Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence…

Published

Last Updated: 18 Jul 2024

ITU-T Q.5023

Protocol for managing intelligent network slicing with AI-assisted analysis in IMT-2020 networks

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

System architecture Interface and architecture

This Recommendation specifies the protocol for managing intelligent network slicing with AI-assisted network analysis function in IMT-2020 networks. It describes…

Published

Last Updated: 18 Jul 2024

ITU-T F Supplement 4

Overview of convergence of artificial intelligence and blockchain

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Vertical AI-specific Data management Data protection

Data sharing Interoperability Privacy Security and resilience Sustainability System architecture Interface and architecture

This Supplement provides an overview of the convergence of artificial intelligence and blockchain, and provides a technical reference for the…

Published

Last Updated: 18 Jul 2024

ITU-T J.1600

Premium cable network platform – Framework

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

Data protection Privacy System architecture Interface and architecture

This Recommendation supports the automation of the operation and maintenance for cable TV and broadband networks, typically the hybrid fibre…

Published

Last Updated: 18 Jul 2024

ITU-T P.565.1

Machine learning model for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

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

System quality Measurement and test methods Product and performance requirements

Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3180

Mechanism of traffic awareness for application-descriptor-agnostic traffic based on machine learning

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Telecom and network-based services AI-specific Data processing Data sharing

Interoperability Security and resillience System architecture Interface and architecture Process, management and governance

Recommendation ITU-T Y.3180 specifies the mechanism of traffic awareness for application_x005F descriptor-agnostic traffic based on machine learning. This Recommendation specifies…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3176

Machine learning marketplace integration in future networks including IMT-2020

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Horizontal AI-specific Interoperability Interface and architecture

Process, management and governance

Recommendation ITU-T Y.3176 provides high-level requirements and the architecture for integrating machine learning (ML) marketplaces in future networks including IMT-2020.…

Published

Last Updated: 18 Jul 2024

ITU-T Y Supplement 55

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

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

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

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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 L Supplement 42

Guidelines on the environmental efficiency of machine learning processes in supply chain management

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Logistics and supply chain management AI-specific Explainability and transparency Security and resilience

Sustainability Measurement and test methods

This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…

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

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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

Content Type

Requirements for energy saving management of 5G radio access network (RAN) systems with artificial intelligence (AI)

Protocol for managing intelligent network slicing with AI-assisted analysis in IMT-2020 networks

Premium cable network platform – Framework

Machine learning model for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

Machine learning marketplace integration in future networks including IMT-2020

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

Guidelines on the environmental efficiency of machine learning processes in supply chain management

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

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