More Accurate Modelling of Digital Subscriber Lines with Inhomogeneity

The digital subscriber lines are still base of access network to provide Internet connectivity to the public. The transmission capacity is continually increased and performance of digital subscriber lines must be estimated for network provider use. This paper describes two ways for correction of dig...

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Main Authors: Jiri Vodrazka, Petr Jares, Boris Simak
Format: Article
Language:English
Published: University of Žilina 2013-07-01
Series:Communications
Subjects:
Online Access:https://komunikacie.uniza.sk/artkey/csl-201311-0022_more-accurate-modelling-of-digital-subscriber-lines-with-inhomogeneity.php
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author Jiri Vodrazka
Petr Jares
Boris Simak
author_facet Jiri Vodrazka
Petr Jares
Boris Simak
author_sort Jiri Vodrazka
collection DOAJ
description The digital subscriber lines are still base of access network to provide Internet connectivity to the public. The transmission capacity is continually increased and performance of digital subscriber lines must be estimated for network provider use. This paper describes two ways for correction of digital subscriber line modelling. The resulting bitrates are calculated with respect to the length of the line and the number of disturbance sources. The article brings new ideas for simulations and calculations of transmission function for line with inhomogeneity and calculations new value of code gain.
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spelling doaj.art-1822cfdd185642bb9b56dc008ac91bcc2023-04-14T06:30:50ZengUniversity of ŽilinaCommunications1335-42052585-78782013-07-01152A12913310.26552/com.C.2013.2A.129-133csl-201311-0022More Accurate Modelling of Digital Subscriber Lines with InhomogeneityJiri Vodrazka0Petr Jares1Boris Simak2Department of Telecommunication Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech RepublicDepartment of Telecommunication Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech RepublicDepartment of Telecommunication Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech RepublicThe digital subscriber lines are still base of access network to provide Internet connectivity to the public. The transmission capacity is continually increased and performance of digital subscriber lines must be estimated for network provider use. This paper describes two ways for correction of digital subscriber line modelling. The resulting bitrates are calculated with respect to the length of the line and the number of disturbance sources. The article brings new ideas for simulations and calculations of transmission function for line with inhomogeneity and calculations new value of code gain.https://komunikacie.uniza.sk/artkey/csl-201311-0022_more-accurate-modelling-of-digital-subscriber-lines-with-inhomogeneity.phpaccess networkmodel of twisted pairinhomogeneitydigital subscriber lines
spellingShingle Jiri Vodrazka
Petr Jares
Boris Simak
More Accurate Modelling of Digital Subscriber Lines with Inhomogeneity
Communications
access network
model of twisted pair
inhomogeneity
digital subscriber lines
title More Accurate Modelling of Digital Subscriber Lines with Inhomogeneity
title_full More Accurate Modelling of Digital Subscriber Lines with Inhomogeneity
title_fullStr More Accurate Modelling of Digital Subscriber Lines with Inhomogeneity
title_full_unstemmed More Accurate Modelling of Digital Subscriber Lines with Inhomogeneity
title_short More Accurate Modelling of Digital Subscriber Lines with Inhomogeneity
title_sort more accurate modelling of digital subscriber lines with inhomogeneity
topic access network
model of twisted pair
inhomogeneity
digital subscriber lines
url https://komunikacie.uniza.sk/artkey/csl-201311-0022_more-accurate-modelling-of-digital-subscriber-lines-with-inhomogeneity.php
work_keys_str_mv AT jirivodrazka moreaccuratemodellingofdigitalsubscriberlineswithinhomogeneity
AT petrjares moreaccuratemodellingofdigitalsubscriberlineswithinhomogeneity
AT borissimak moreaccuratemodellingofdigitalsubscriberlineswithinhomogeneity