The cognitive network operates with full autonomy capable of continuous self-learning at scale. By taking advantage of machine learning and machine reasoning, it will use the knowledge it has gathered in the past to solve new types of problems without involving humans in the loop.
The vision of cognitive network
The human operator will now interact with the network using high-level requirements in the form of intents. The network then needs intelligence (the ”brains”) to understand these intents and translate them into action plans and settings to fulfill all requirements that are given by the human. To take decisions based on the current knowledge, improve the decision-making process, and acquire new knowledge, data from operations is needed. Finally, all actions and configurations are applied in the infrastructure, which is evolving into a software-based system deployed in a distributed cloud-native platform.