�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����