The purpose of this document is to infer and delineate a high-level framework of architectural principles and requirements. Inferences from a survey of network service providers, on network automation and autonomy based on AI/ML [Annex – Summary of survey], serve as a motivation. The objective is to provide guidance and direction for NGMN Partners and standards development organisations for the articulation of interoperable capabilities, enablers, and services, associated with network automation and autonomous systems. It builds on the architectural concepts and emerging directions in the industry, with respect to the various aspects of autonomous systems for enabling end-to-end network automation, beyond the methods of simple automation, where human intervention is required for system and service configuration, and operation.
The journey from simple automation to an autonomous system rendered zero-touch automation is examined through a system-wide lens. The objective is to advance the promise of a continuously emerging service paradigm, which is enabled through a service-based framework of virtualization, cognitive awareness, and flexible levels of distribution. These aspects facilitate the customization and optimization of operations and capital expenditures, to suit different deployment objectives and business models, while promoting a personalized and experiential service quality.
This document describes the various aspects of an autonomous system, enabled through the use of AI/ML models. The context is an evolving network sliced, distributed, cloud-native, and advancing 5G ecosystem, for realizing an automation of network operations, with limited or no human intervention.