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Computational intelligence in performance evaluation and fault prognosis in telecommunication access networks

Publication date: 12.09.2014

Technical Transactions, 2013, Automatic Control Issue 2 AC (10) 2013, pp. 99-118

https://doi.org/10.4467/2353737XCT.14.026.2609

Authors

,
Ferenc LiLik
Széchenyi István University
, Hungary
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,
Péter Simonyi
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László T. Kóczy
Department of Automation, Faculty of Engineering Sciences, Széchenyi István University Györ
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Titles

Computational intelligence in performance evaluation and fault prognosis in telecommunication access networks

Abstract

Telecommunication connections are highly reliable and manageable, however, the handling of several parts of the networks is problematic. One of these parts is the access network. The variegation of the applied technologies and the individual connections to the customers in access networks makes the preliminary estimation of the performance of the telecommunications services and troubleshooting difficult. There are existing methods which can handle such problems, but the telecommunications companies (TELCO) are continuously looking for newer and more efficient methods. In this paper some existing methods for performance evaluation and the prediction of the probable failures of the wire pairs of telecommunications access networks are reviewed and novel methods that are based on the measurements of the wire pairs and use computational intelligence, fuzzy inference methods and evolutionary models are introduced.

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Information

Information: Technical Transactions, 2013, Automatic Control Issue 2 AC (10) 2013, pp. 99-118

Article type: Original article

Titles:

Polish:

Computational intelligence in performance evaluation and fault prognosis in telecommunication access networks

English:

Computational intelligence in performance evaluation and fault prognosis in telecommunication access networks

Authors

Széchenyi István University
Hungary

Department of Automation, Faculty of Engineering Sciences, Széchenyi István University Györ

Published at: 12.09.2014

Article status: Open

Licence: None

Percentage share of authors:

Ferenc LiLik (Author) - 33%
Péter Simonyi (Author) - 33%
László T. Kóczy (Author) - 34%

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Publication languages:

English

Computational intelligence in performance evaluation and fault prognosis in telecommunication access networks

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