University of Oulu

Madhusanka Liyanage, Pawani Porambage, Aaron Yi Ding, Anshuman Kalla, Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G, ICT Express, Volume 7, Issue 2, 2021, Pages 127-137, ISSN 2405-9595,

Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G

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Author: Liyanage, Madhusanka1,2; Porambage, Pawani2; Ding, Aaron Yi3;
Organizations: 1School of Computer Science, University College Dublin, Ireland
2Center for Wireless Communications, University of Oulu, Finland
3Department of Engineering Systems and Services, Delft University of Technology, Netherlands
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2 MB)
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Language: English
Published: Elsevier, 2021
Publish Date: 2021-07-12


The emergence of Multi-Access Edge Computing (MEC) technology aims to extend cloud computing capabilities to the edge of the wireless access networks, i.e., closer to the end-users. Thus, MEC-enabled 5G wireless systems are envisaged to offer real-time, low-latency, and high-bandwidth access to the radio network resources. Thus, MEC allows network operators to open up their networks to a wide range of innovative services, thereby giving rise to a brand-new ecosystem and a value chain. Furthermore, MEC as an enabling technology will provide new insights into coherent integration of Internet of Things (IoT) in 5G wireless systems. In this context, this paper expounds the four key technologies, including Network Function Virtualization (NFV), Software Defined Networking (SDN), Network Slicing and Information Centric Networking (ICN), that will propel and intensify the integration of MEC IoT in 5G networks. Moreover, our goal is to provide the close alliance between MEC and these four driving technologies in the 5G IoT context and to identify the open challenges, future directions, and concrete integration paths.

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Series: ICT express
ISSN: 2405-9595
ISSN-E: 2405-9595
ISSN-L: 2405-9595
Volume: 7
Issue: 2
Pages: 127 - 137
DOI: 10.1016/j.icte.2021.05.007
Type of Publication: A2 Review article in a scientific journal
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work has been performed under the framework of RESPONSE 5G (Grant No: 789658) project which is funded by European Union and 6Genesis Flagship (grant 318927) project which is funded by the Academy of Finland. The work is also partially supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 956090, and the iSafe project which is funded by TU Delft Safety & Security Institute.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2021 The Korean Institute of Communications and Information Sciences (KICS). Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (