University of Oulu

Y. Siriwardhana, P. Porambage, M. Liyanage and M. Ylianttila, "Performance Analysis of Softwarized Local Mobile Networks," 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2021, pp. 1-2, doi: 10.1109/CCNC49032.2021.9369506

Performance analysis of softwarized local mobile networks

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Author: Siriwardhana, Yushan1; Porambage, Pawani1; Liyanage, Madhusanka1,2;
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2School of Computer Science, University College Dublin, Ireland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-03-16


The ever growing and revolutionizing demands in telecommunication industry to facilitate numerous business verticals are pushing towards more softwarized mobile communication technologies. Utilizing the capabilities of network softwarization, a novel telecommunication concept of local mobile network has been developed. The local mobile networks are getting popular due to their capability of providing efficient and reliable local services to a focused use case with higher flexibility. This paper presents the practical implementation aspects of a softwarized local mobile network and compare its performance with a conventional mobile network and a hybrid network.

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Series: IEEE Consumer Communications and Networking Conference
ISSN: 2331-9852
ISSN-E: 2331-9860
ISSN-L: 2331-9852
ISBN: 978-1-7281-9794-4
ISBN Print: 978-1-7281-9795-1
Article number: 9369506
DOI: 10.1109/CCNC49032.2021.9369506
Host publication: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
Conference: IEEE Consumer Communications and Networking Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is supported by Academy of Finland in 6G Flagship (#318927) and 5GEAR (#319669) projects.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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