University of Oulu

I. Afolabi, T. Taleb, P. A. Frangoudis, M. Bagaa and A. Ksentini, "Network Slicing-Based Customization of 5G Mobile Services," in IEEE Network, vol. 33, no. 5, pp. 134-141, Sept.-Oct. 2019. doi: 10.1109/MNET.001.1800072

Network slicing-based customization of 5G mobile services

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Author: Afolabi, Ibrahim1; Taleb, Tarik1,2,3; Frangoudis, Pantelis A.4;
Organizations: 1Department of Communications and Networking, School of Electrical Engineering, Aalto University, Finland
2Faculty of Information Technology and Electrical Engineering, Oulu University
3Department of Computer and Information Security, Sejong University, Seoul 05006, South Korea
4Communication Systems Department, EURECOM, Sophia Antipolis, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-03-09


Through network slicing, different requirements of different applications and services can be met. These requirements can be in terms of latency, bandwidth, mobility support, defining service area, and security. Through fine and dynamic tuning of network slices, services can have their delivery platforms constantly customized according to their changing needs. In this article, we present our implementation of an E2E network slice orchestration platform, evaluate its performance in terms of dynamic deployment of network slices in an E2E fashion, and discuss how its functionality can be enhanced to better customize the network slices according to the needs of their respective services.

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Series: IEEE network
ISSN: 0890-8044
ISSN-E: 1558-156X
ISSN-L: 0890-8044
Volume: 33
Issue: 5
Pages: 134 - 141
DOI: 10.1109/MNET.001.1800072
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was partially funded by the Academy of Finland Project CSN - under Grant Agreement 311654 and the 6Genesis project under Grant No. 318927. The work is also partially supported by the European Union’s Horizon 2020 research and innovation program under the 5G!Pagoda project and the MATILDA project with grant agreement No. 723172 and No. 761898, respectively.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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