Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks
Joint Authors
Kóczy, László T.
Lilik, Ferenc
Nagy, Szilvia
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-16
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
A novel approach is presented which is able to predict the available maximal data transfer rate of SHDSL connections from measured frequency dependent electrical parameters of wire pairs.
Predictions are made by a fuzzy inference system.
The basis of the operable and tested method will be introduced, then an improved version is shown, in which the problems derived from sampling of continuous functions of electrical parameters are eliminated by wavelet transformation.
Also possibilities for simplification of the problem and a way of reducing the dimensions of the applied rule bases are presented.
As the set of the measured data leads to sparse rule bases, handling of sparseness is unavoidable.
Two different ways—fuzzy interpolation and various membership functions—will be introduced.
The presented methods were tested by measurements in real telecommunications access networks.
American Psychological Association (APA)
Lilik, Ferenc& Nagy, Szilvia& Kóczy, László T.. 2018. Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks. Complexity،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1133733
Modern Language Association (MLA)
Lilik, Ferenc…[et al.]. Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks. Complexity No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1133733
American Medical Association (AMA)
Lilik, Ferenc& Nagy, Szilvia& Kóczy, László T.. Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks. Complexity. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1133733
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133733