Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/3685927 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556946861850624 |
|---|---|
| author | Ferenc Lilik Szilvia Nagy László T. Kóczy |
| author_facet | Ferenc Lilik Szilvia Nagy László T. Kóczy |
| author_sort | Ferenc Lilik |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-32e67b2694864d19b8e6172fb55301c1 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-32e67b2694864d19b8e6172fb55301c12025-02-03T05:44:05ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/36859273685927Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access NetworksFerenc Lilik0Szilvia Nagy1László T. Kóczy2Department of Telecommunications, Széchenyi István University, Egyetem tér 1, Győr 9026, HungarySzéchenyi István University, Győr, HungarySzéchenyi István University, Győr, HungaryA 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.http://dx.doi.org/10.1155/2018/3685927 |
| spellingShingle | Ferenc Lilik Szilvia Nagy László T. Kóczy Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks Complexity |
| title | Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks |
| title_full | Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks |
| title_fullStr | Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks |
| title_full_unstemmed | Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks |
| title_short | Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks |
| title_sort | improved method for predicting the performance of the physical links in telecommunications access networks |
| url | http://dx.doi.org/10.1155/2018/3685927 |
| work_keys_str_mv | AT ferenclilik improvedmethodforpredictingtheperformanceofthephysicallinksintelecommunicationsaccessnetworks AT szilvianagy improvedmethodforpredictingtheperformanceofthephysicallinksintelecommunicationsaccessnetworks AT laszlotkoczy improvedmethodforpredictingtheperformanceofthephysicallinksintelecommunicationsaccessnetworks |