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Modeling the UE-perceived cellular network performance following a controller-based approach

Authors :
Jessica Mendoza
David Palacios
Isabel de-la-Bandera
Eduardo Baena
Emil J Khatib
Raquel Barco
Source :
EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-12 (2019)
Publication Year :
2019
Publisher :
SpringerOpen, 2019.

Abstract

Abstract During the last few years, mobile communication networks have experienced a huge evolution. This evolution culminates with the arrival of the fifth generation (5G) of mobile communication networks. As a result, the complexity of network management tasks has been increasing and the need to use automatic management algorithms has been demonstrated. However, many mobile network operators (MNOs) are reluctant to evaluate these algorithms in their networks. To address this issue, in this paper, a modeling approach is proposed. In this sense, the behavior of a commercial network, as it is perceived by user equipments (UEs), has been replicated in a research testbed using a three-step modeling process. The first step consists on performing a measurement campaign in several external networks. The second step is composed of the measurement campaign result analysis and the classification of the results in different types of scenarios. Finally, the third step is related to the application of a modeling algorithm in a research testbed. In order to perform the last step, the use of a method based on a controller is proposed. The modeling process presented in this paper allows to replicate the network behavior from users located in different areas and with different conditions point of view. Moreover, the use of a testbed environment can help to avoid downtime in commercial networks caused by possible algorithm bugs.

Details

Language :
English
ISSN :
16871499
Volume :
2019
Issue :
1
Database :
Directory of Open Access Journals
Journal :
EURASIP Journal on Wireless Communications and Networking
Publication Type :
Academic Journal
Accession number :
edsdoj.11fc4cbd29ce4fed89c68ff7ca4f6bcf
Document Type :
article
Full Text :
https://doi.org/10.1186/s13638-019-1596-9