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Edge Intelligence in Private Mobile Networks for Next-Generation Railway Systems

  • Syed Muhammad Asad
  • , Ahsen Tahir
  • , Rao Naveed Bin Rais
  • , Shuja Ansari
  • , Attai Ibrahim Abubakar
  • , Sajjad Hussain
  • , Qammer H. Abbasi
  • , Muhammad Ali Imran
  • University of Glasgow
  • Transport for London
  • University of Engineering and Technology Lahore
  • Ajman University

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The integration of Private Mobile Networks (PMN) with edge intelligence is expected to play an instrumental role in realizing the next generation of industry applications. This combination collectively termed Intelligent Private Networks (IPN) deployed within the scope of specific industries such as transport systems can unlock several use cases and critical applications that in turn can address rising business demands. This article presents a conceptual IPN that hosts intelligence at the network edge employing emerging technologies that satisfy a number of Next-Generation Railway System (NGRS) applications. NGRS use cases along with their applications and respective beyond 5G (B5G) enabling technologies have been discussed along with possible future research and development directions that will allow these promising technologies to be used and implemented widely.

Original languageEnglish
Article number769299
JournalFrontiers in Communications and Networks
Volume2
DOIs
StatePublished - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • 6G
  • B5G
  • NB-IoT
  • edge intelligence
  • intelligent private network
  • intelligent transport systems
  • next generation transport systems

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