Intent-Based Network Management with User-Friendly Interfaces and Natural Language Processing
Barbara Orlandi, Sandrine Lataste, Sylvaine Kerboeuf, Marc Bouillon, Xiaofeng Huang, Frédéric Faucheux, Arzhang Shahbazi, Pascal Delvallet
Abstract
This paper investigates the scaling of business ordering, delivery and fulfillment of 5G/6G services especially applied to network slicing. We propose a system including architecture and methods to translate customer expectations expressed as intents into management services enabling network elements configuration. Our architecture uses a clear separation between engagement channels and the actual management of services and is compatible with the TM Forum Open Digital Architecture (ODA). Some components of the solution were successfully demonstrated such as a business intent resolver that interfaces with two engagement channels offering customers the choice of the user experience and to benefit from a Natural Language Processing based (NLP) interaction with a chatbot.