Industry-Academia Research toward Future Network Intelligence: The NG-CDI Prosperity Partnership

Nicholas Race, Idris Eckley, Ajith Parlikad, Charalampos Rotsos, Ning Wang, Robert Piechocki, Philip Stiles, Arjun Parekh, Trevor Burbridge, Peter Willis, Stephen Cassidy

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

4 Citations (Scopus)

Abstract

Ever since the first automation provided by the introduction of the Strowger telephone exchange in the late 19th century, networks have been increasingly automated. Fast forward to 2022, and the challenge facing network providers is scaling up this level of automation considering massive increases in complexity, new levels of agility to operate services, and rising demand from customers within the modern telecommunications ecosystem. This article describes a significant new industry-academia partnership to address these challenges: Next Generation Converged Digital Infrastructure (NG-CDI) is creating a vision for the building and operation of a future-proof network infrastructure and its autonomic management. In this article, we highlight three exemplar activities within the NG-CDI research program that illustrate the benefits of taking a highly collaborative interdisciplinary approach and show how academia and industry working closely together have delivered a range of direct and positive impacts on business.
Original languageEnglish
Pages (from-to)18-24
Number of pages7
JournalIEEE Network
Volume36
Issue number1
Early online date23 Mar 2022
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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