Autonomously operated and self-adapting networks will make it possible to utilize the capabilities of computer engineering vs computer science networks in new business models and achieve an unprecedented level of efficiency in service delivery. Intents will play a critical role in achieving this zero-touch vision, serving as the mechanism that formally specifies what the autonomous system is expected to do.
The ultimate goal of cognitive networks is to realize the zero-touch operation paradigm, a vision that requires artificial intelligence that is on par with human capability to reason and decide within complex dependencies and broad domains. While AI is not yet able to offer that level of sophistication, our research indicates that it is already possible to reach a high degree of practical autonomous operation in networks by combining existing AI techniques within a flexible architecture to create what we call a cognitive layer.
This Ericsson Technology Review article introduces our cognitive layer and highlights the critical role intents play in enabling autonomous operations. The authors also demonstrate how our cognitive layer works in a real-world scenario by presenting a use case that optimizes the provisioning decisions for the deployment of a virtual network function.
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