1 Scope
2 References
3 Definitions
3.1 Terms defined elsewhere
3.2 Terms defined in this Supplement
4 Abbreviations and acronyms
5 Conventions
6 Introduction
7 Use cases and requirements
7.1 Import and export of knowledge in an autonomous network
7.2 Configuring and driving simulators from autonomous components
in the network
7.3 Peer-in-loop (including humans)
7.4 Configuring and driving automation loops from autonomous
components in the network
7.5 Domain analytics services for E2E service management
7.6 Automation and intelligent operation, maintenance and
management (OAM) of radio network
7.7 Intelligent energy saving for data centres
7.8 Autonomous massive MIMO
7.9 Network resource allocation for emergency management based on
closed loop analysis
7.10 Inter-domain service automation (IDSA) – for microfinance
7.11 Autonomous vertical-driven edge service and middle-mile
connectivity for rural financial inclusion (FI)
7.12 Signalling flows for autonomous IMT-2020 network
7.13 Plug/play of network instance
7.14 Generative adversarial sandbox (or hybrid closed loops)
7.15 Open, integrated, log analysis
7.16 Composeable, hierarchical closed loops
7.17 Quality of experience (QoE) prediction as-a-service (QPaaS)
7.18 Autonomy applied to content delivery networks (CDN)
7.19 Analysis-driven evolution in virtualized RAN based on DevOps
7.20 Evolving edge applications for verticals using private 5G
7.21 Experimentation and "fire drills" for public safety
networks
7.22 Machine learning for network automation
7.23 Autonomous agents (with varied competence) in networks
7.24 Automated, adaptive acceleration for AI @ edge
7.25 Assistive networks: Adaptation of communication system based on
changing user accessibility needs
7.26 Ev-as-a-service: Achieving zero-touch evolution in a delegated
autonomy case
7.27 Experimentation as a service: Digital twins as platforms for
experimentation
7.28 Evolution from scenario-specific, explicit coordination to
coordination-free interoperability (achieved using data-driven approaches)
7.29 Intelligent maintenance assistance system
7.30 Demand forecasting and live service migration methods in edge
computing systems
7.31 OpenCN: An open repository of intents for controllers and
modules
7.32 AI-enabled game theory-based mechanism for resource allocation
7.33 Service automation using workflows
7.34 Disaggregation and placement of in-network programs
7.35 A fast and lightweight autoML library (FLAML)
7.36 Connected AI (CAI) testbed: Testbed for 5G connected artificial
intelligence on virtualized networks
7.37 Negotiated boundaries in AN for seamless network sharing
7.38 AN enabled end-to-end supply chain
7.39 Towards openness in AN
7.40 Awareness in AN
Bibliography