NLP Powered Intent Based Network Management for Private 5G Networks

Joseph Mcnamara, Daniel Camps-Mur, Meysam Goodarzi, Hilary Frank, Lorena Chinchilla-Romero, Ferrán Cañellas, Adriana Fernández-Fernández, Shuangyi Yan

Research output: Contribution to journalArticle (Academic Journal)peer-review

17 Citations (Scopus)

Abstract

Intent driven networking holds the promise of simplifying network operations by allowing operators to use declarative, instead of imperative, interfaces. Adoption of this technology for 5G and beyond networks is however still in its infancy, where the required architectures, platforms, interfaces and algorithms are still being discussed. In this work, we present the design and implementation of a novel intent based platform for private 5G networks powered by a Natural Language Processing (NLP) interface. We demonstrate how our platform simplifies network operations in three relevant private network use cases, including: i) an intent based slice provisioning use case, ii) an intent based positioning use case, and iii) an intent based service deployment use case. Finally, all use cases are benchmarked in terms of intent provisioning time.
Original languageEnglish
Pages (from-to)36642-36657
Number of pages16
JournalIEEE Access
Volume11
Early online date2023
DOIs
Publication statusPublished - 10 Apr 2023

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Fingerprint

Dive into the research topics of 'NLP Powered Intent Based Network Management for Private 5G Networks'. Together they form a unique fingerprint.

Cite this