Analysis of the level of SNR in the PLC channel based on the results of mathematical and physical modelling
Abctract. One of the most pressing challenges still existing in modern communication systems based on PLC (Power Line Communication) technology is distortion of the original signal when it passes over the communication channel. This article is concerned with the assessment of the impact of the PLC c...
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Veröffentlicht in: | Journal of physics. Conference series 2019-01, Vol.1145 (1), p.12013 |
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creator | Chebotayev, P Urazayev, D Pospelova, I Karassenko, A Zykov, D Shelupanov, A |
description | Abctract. One of the most pressing challenges still existing in modern communication systems based on PLC (Power Line Communication) technology is distortion of the original signal when it passes over the communication channel. This article is concerned with the assessment of the impact of the PLC channel on a signal, which was carried out by physical and mathematical simulation tools. The goal of the research is to find correspondences between the mathematical model and the real-world PLC channel. In this article, the real-world PLC channel is represented as a physical model, which was executed with the Texas Instruments evaluation kit. The mathematical model considered was executed with Matlab environment. The SNR (Signal-to-noise Ratio) parameter was used for the assessment of the impact of the PLC channel on a signal in the physical model. The LQI (Link Quality Indicator) parameter was used for the same purpose in the mathematical model. According to the results of the investigations, it is identified that the mathematical model corresponds in its properties to the real-world PLC channel. Therefore, the developed mathematical model is suitable for further investigations of the processes occurring in the real-world PLC channel. |
doi_str_mv | 10.1088/1742-6596/1145/1/012013 |
format | Article |
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One of the most pressing challenges still existing in modern communication systems based on PLC (Power Line Communication) technology is distortion of the original signal when it passes over the communication channel. This article is concerned with the assessment of the impact of the PLC channel on a signal, which was carried out by physical and mathematical simulation tools. The goal of the research is to find correspondences between the mathematical model and the real-world PLC channel. In this article, the real-world PLC channel is represented as a physical model, which was executed with the Texas Instruments evaluation kit. The mathematical model considered was executed with Matlab environment. The SNR (Signal-to-noise Ratio) parameter was used for the assessment of the impact of the PLC channel on a signal in the physical model. The LQI (Link Quality Indicator) parameter was used for the same purpose in the mathematical model. According to the results of the investigations, it is identified that the mathematical model corresponds in its properties to the real-world PLC channel. Therefore, the developed mathematical model is suitable for further investigations of the processes occurring in the real-world PLC channel.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1145/1/012013</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Communication ; Communications systems ; Mathematical models ; Parameters ; Power lines ; Signal to noise ratio</subject><ispartof>Journal of physics. Conference series, 2019-01, Vol.1145 (1), p.12013</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2743-aeab965af4a3c63c057b3cee7d56de493a4fafaeba900e90174a8a249ec2d0633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1742-6596/1145/1/012013/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27924,27925,38868,38890,53840,53867</link.rule.ids></links><search><creatorcontrib>Chebotayev, P</creatorcontrib><creatorcontrib>Urazayev, D</creatorcontrib><creatorcontrib>Pospelova, I</creatorcontrib><creatorcontrib>Karassenko, A</creatorcontrib><creatorcontrib>Zykov, D</creatorcontrib><creatorcontrib>Shelupanov, A</creatorcontrib><title>Analysis of the level of SNR in the PLC channel based on the results of mathematical and physical modelling</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>Abctract. One of the most pressing challenges still existing in modern communication systems based on PLC (Power Line Communication) technology is distortion of the original signal when it passes over the communication channel. This article is concerned with the assessment of the impact of the PLC channel on a signal, which was carried out by physical and mathematical simulation tools. The goal of the research is to find correspondences between the mathematical model and the real-world PLC channel. In this article, the real-world PLC channel is represented as a physical model, which was executed with the Texas Instruments evaluation kit. The mathematical model considered was executed with Matlab environment. The SNR (Signal-to-noise Ratio) parameter was used for the assessment of the impact of the PLC channel on a signal in the physical model. The LQI (Link Quality Indicator) parameter was used for the same purpose in the mathematical model. According to the results of the investigations, it is identified that the mathematical model corresponds in its properties to the real-world PLC channel. Therefore, the developed mathematical model is suitable for further investigations of the processes occurring in the real-world PLC channel.</description><subject>Communication</subject><subject>Communications systems</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>Power lines</subject><subject>Signal to noise ratio</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFUFtLwzAULqLgnP4GA74JtUmTpu3jKF4ZOpw-h9P01HVmbW02Yf_edJWJIJiH5JzzXcL5PO-c0StGkyRgsQh9GaUyYExEAQsoCynjB95ojxzu6yQ59k6sXVLK3YlH3vukBrO1lSVNSdYLJAY_0fTN_PGZVPVuNptmRC-grh2Sg8WCNAPQod2Y9U67AjdwV6XBEKgL0i6cbd-smgKNqeq3U--oBGPx7Psde6831y_ZnT99ur3PJlNfh7HgPiDkqYygFMC15JpGcc41YlxEskCRchAllIA5pJRiSt1qkEAoUtRhQSXnY-9i8G275mODdq2WzaZze1oVRjLiMqGCOVY8sHTXWNthqdquWkG3VYyqPlnVZ6b6_FSfrGJqSNYpLwdl1bQ_1g-zbP6bqNqidGT-B_m_L74AThyIfg</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Chebotayev, P</creator><creator>Urazayev, D</creator><creator>Pospelova, I</creator><creator>Karassenko, A</creator><creator>Zykov, D</creator><creator>Shelupanov, A</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20190101</creationdate><title>Analysis of the level of SNR in the PLC channel based on the results of mathematical and physical modelling</title><author>Chebotayev, P ; Urazayev, D ; Pospelova, I ; Karassenko, A ; Zykov, D ; Shelupanov, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2743-aeab965af4a3c63c057b3cee7d56de493a4fafaeba900e90174a8a249ec2d0633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Communication</topic><topic>Communications systems</topic><topic>Mathematical models</topic><topic>Parameters</topic><topic>Power lines</topic><topic>Signal to noise ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chebotayev, P</creatorcontrib><creatorcontrib>Urazayev, D</creatorcontrib><creatorcontrib>Pospelova, I</creatorcontrib><creatorcontrib>Karassenko, A</creatorcontrib><creatorcontrib>Zykov, D</creatorcontrib><creatorcontrib>Shelupanov, A</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chebotayev, P</au><au>Urazayev, D</au><au>Pospelova, I</au><au>Karassenko, A</au><au>Zykov, D</au><au>Shelupanov, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of the level of SNR in the PLC channel based on the results of mathematical and physical modelling</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>1145</volume><issue>1</issue><spage>12013</spage><pages>12013-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>Abctract. One of the most pressing challenges still existing in modern communication systems based on PLC (Power Line Communication) technology is distortion of the original signal when it passes over the communication channel. This article is concerned with the assessment of the impact of the PLC channel on a signal, which was carried out by physical and mathematical simulation tools. The goal of the research is to find correspondences between the mathematical model and the real-world PLC channel. In this article, the real-world PLC channel is represented as a physical model, which was executed with the Texas Instruments evaluation kit. The mathematical model considered was executed with Matlab environment. The SNR (Signal-to-noise Ratio) parameter was used for the assessment of the impact of the PLC channel on a signal in the physical model. The LQI (Link Quality Indicator) parameter was used for the same purpose in the mathematical model. According to the results of the investigations, it is identified that the mathematical model corresponds in its properties to the real-world PLC channel. 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subjects | Communication Communications systems Mathematical models Parameters Power lines Signal to noise ratio |
title | Analysis of the level of SNR in the PLC channel based on the results of mathematical and physical modelling |
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