An Intent-Driven Orchestration of Cognitive Autonomous Networks for RAN management

Abstract

Intent Based Networks (IBNs) are mainly used to transform a user's intent into network configuration, operation, and maintenance strategies. In this paper we propose an a generic end-to-end design of an intent based network management system which we further customize to use in RAN control parameter and KPI management utilizing an existing technology (Cognitive Autonomous Network (CAN)). We introduce three new concepts in intent based network management: intent specification platform (ISP), formal intent and Intent Fulfillment System (IFS), which are not only relevant for this specific use case but can also be used by other network components. We discuss how our proposed solution can be implemented in Python as a standalone module so that it can be used with suitable networking simulators. Along with these, we also provide an overview of standardization impact of our research to show that it conforms with the worldwide mobile network management standardization efforts.