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ETSI GANA as Multi-Layer Artificial Intelligence (AI) Framework for Implementing AI Models for Autonomic Management & Control (AMC) of Networks and Services; and Intent-Based Networking (IBN) via GANA Knowledge Planes (KPs)

Provides insights on ETSI GANA Knowledge Planes (KPs) Driven Networking in Autonomic/Autonomous Networking (ANs) for Networks that exhibit features such as self-* operations such as self-adaptation, self-optimization, self-monitoring, self-protection and self-defense objectives for the network and services; Establishes relationships between Autonomics, Cognition and Autonomous Network Behaviour; Standardization in this area of ANs.
ETSI 5G PoC White Paper No. 4

IEEE INGR (International Network Generations Roadmap)/Future Networks, Standardization Building Blocks (SBB) Roadmap Chapter

Discusses Standards Roadmaps for Future Networks, including 5G/6G, as well as in the area of Autonomic/Autonomous Networking (ANs) Standards. The Emerging Industry Requirement for Standardization of a Blueprint for Common Operational Principles for Autonomic/Autonomous Networks (COPAAN) is presented in relation to the Autonomic/Autonomous Networking (ANs) paradigm. The connection of COPAAN and Robotics is illustrated.
IEEE NGR (International Network Generations Roadmap) 2022 EDITION

IEEE INGR (International Network Generations Roadmap)/Future Networks, Systems Optimization Roadmap Chapter

The document describes Gaps in Standards for Autonomic/Autonomous Networking (ANs), including Self-Organizing Systems and Networks. The Emerging Industry Requirement for Standardization of a Blueprint for Common Operational Principles for Autonomic/Autonomous Networks (COPAAN) is presented in more detail in relation to the Autonomic/Autonomous Networking (ANs) paradigm. The Model of Interfaces of an AN that call for COPAAN Standard Development is presented. The connection of COPAAN and Robotics is illustrated. Systems Optimization, Traffic Variance, Control Variance, Service Variance, Confluence, Dependency, Complex Systems, Self-Organizing Networks, Self-X, Autonomics, Autonomic Management & Control (AMC), Emergence
IEEE NGR (International Network Generations Roadmap) 2022 EDITION

Recommendation on Requirements and Architectural Framework for Autonomic Management and Control of IMT-2020 Networks

Requirements and Architectural Framework for Autonomic Management and Control of IMT-2020 Networks, as part of the the paradigm of Autonomic/Autonomous Networking (ANs) for Networks that exhibit features such as self-* operations such as self-adaptation, self-optimization, self-monitoring, self-protection and self-defense objectives for the network and services
ITU-T Y.3324

Global Robotic Standards: A3 Robotics: Leading the Way in Industry Safety

Describes the work of the A3 Robotics Association, Landscape, and how A3 provides leadership, coordination, administration, communication, and education for the development of standards in the robotics industry. It also provides Information on Global Robotic Standards Committees and Standards Developmenet Activities in the Area of Industrial Robots. It is formerly the Robotic Industries Association (RIA).
ASSOCIATION FOR ADVANCING AUTOMATION

Core Network and Interoperability Testing (INT/WG AFI); Federated GANA Knowledge Planes (KPs) for Multi-Domain Autonomic Management & Control (AMC) of Slices in the NGMN® 5G End-to-End Architecture Framework

As part of the growing area of Autonomic/Autonomous Networks (ANs), the document covers the subject of Federated GANA Knowledge Planes (KPs) Platforms for E2E Multi-Domain Federated Autonomic Management and Control (AMC) of 5G Network Slices in NGMN® E2E 5G Architecture
ETSI TR 103 747

TR-436 Access & Home Network O&M Automation/Intelligence

As part of Autonomic/Autonomous Networks (ANs) paradigm, the document presents a Framework for intelligent and automated O&M for Access & Home networks, whichincludes: 1) Automatically identify typical anomalies and faults in Access & Home network based on Machine Learning (ML), Artificial Intelligence (AI) algorithms and expert experience, realize rapid troubleshooting, and thus reduce invalid on-site and sporadic issues. 2) Perform predictive analysis based on ML and AI to achieve preventive O&M and self-healing in case of failure.
BroadBand Forum TR-436