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
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Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.4 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202003097633 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2019
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Publish Date: | 2020-03-09 |
Description: |
AbstractThrough 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. see all
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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 |
OADOI: | https://oadoi.org/10.1109/MNET.001.1800072 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
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) |
Copyright information: |
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