Modelling of Data Communication over Medium-Voltage Power Distribution Lines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00239293" target="_blank" >RIV/68407700:21230/16:00239293 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Modelling of Data Communication over Medium-Voltage Power Distribution Lines
Original language description
The paper is dedicated to different topologies of medium-voltage power distribution lines with respect to their properties influencing the transmission of communication signals. We provide very basic introduction to the problems of signal transmission over these lines, discuss their parameters and examine the typical behaviour and characteristics. We conclude our considerations with some specific recommendations concerning the most advantageous configurations for the purposes of Power Line Communication (PLC). The data transmission capacity is calculated for different topologies and network conditions.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA03011192" target="_blank" >TA03011192: Research and development of next-generation devices for communication over high-voltage power lines</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Communications
ISSN
1335-4205
e-ISSN
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Volume of the periodical
18
Issue of the periodical within the volume
1/2016
Country of publishing house
SK - SLOVAKIA
Number of pages
5
Pages from-to
62-66
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84958576261