A Geometry-Based Stochastic Channel Model for High-Speed Railway Cutting Scenarios
The scattering issue in the channel model for a railway cutting - a man-made trough or valley that carries a railway at its base - that is applicable to high-speed railway is discussed. The scattering components are rich in cutting and can be modeled by a cluster to enhance the accuracy and efficien...
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Veröffentlicht in: | IEEE antennas and wireless propagation letters 2015-01, Vol.14, p.851-854 |
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description | The scattering issue in the channel model for a railway cutting - a man-made trough or valley that carries a railway at its base - that is applicable to high-speed railway is discussed. The scattering components are rich in cutting and can be modeled by a cluster to enhance the accuracy and efficiency of the channel model, which is based upon geometry-based stochastic channel modeling. The channel parameters are extracted from measurement data collected along the Zhengxi high-speed railway. The size of the cluster is determined by the structure of cutting and channel parameters, such as pathloss exponent and Ricean K factor. A constraint condition of the cluster size is derived based upon theoretical analysis and verified by measurement data. |
doi_str_mv | 10.1109/LAWP.2014.2381773 |
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The scattering components are rich in cutting and can be modeled by a cluster to enhance the accuracy and efficiency of the channel model, which is based upon geometry-based stochastic channel modeling. The channel parameters are extracted from measurement data collected along the Zhengxi high-speed railway. The size of the cluster is determined by the structure of cutting and channel parameters, such as pathloss exponent and Ricean K factor. A constraint condition of the cluster size is derived based upon theoretical analysis and verified by measurement data.</description><identifier>ISSN: 1536-1225</identifier><identifier>EISSN: 1548-5757</identifier><identifier>DOI: 10.1109/LAWP.2014.2381773</identifier><identifier>CODEN: IAWPA7</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Channel models ; Cluster size ; Fading ; geometry-based stochastic model ; high-speed railway ; MIMO ; Rail transportation ; Scattering ; Stochastic processes ; Wireless communication</subject><ispartof>IEEE antennas and wireless propagation letters, 2015-01, Vol.14, p.851-854</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2015</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-fac4ef3b974386b744c453e5acc76c36486691ab7847e474e4b28101363bbbaa3</citedby><cites>FETCH-LOGICAL-c293t-fac4ef3b974386b744c453e5acc76c36486691ab7847e474e4b28101363bbbaa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6987277$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27922,27923,54756</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6987277$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Binghao Chen</creatorcontrib><creatorcontrib>Zhangdui Zhong</creatorcontrib><creatorcontrib>Bo Ai</creatorcontrib><creatorcontrib>Michelson, David G.</creatorcontrib><title>A Geometry-Based Stochastic Channel Model for High-Speed Railway Cutting Scenarios</title><title>IEEE antennas and wireless propagation letters</title><addtitle>LAWP</addtitle><description>The scattering issue in the channel model for a railway cutting - a man-made trough or valley that carries a railway at its base - that is applicable to high-speed railway is discussed. The scattering components are rich in cutting and can be modeled by a cluster to enhance the accuracy and efficiency of the channel model, which is based upon geometry-based stochastic channel modeling. The channel parameters are extracted from measurement data collected along the Zhengxi high-speed railway. The size of the cluster is determined by the structure of cutting and channel parameters, such as pathloss exponent and Ricean K factor. A constraint condition of the cluster size is derived based upon theoretical analysis and verified by measurement data.</description><subject>Channel models</subject><subject>Cluster size</subject><subject>Fading</subject><subject>geometry-based stochastic model</subject><subject>high-speed railway</subject><subject>MIMO</subject><subject>Rail transportation</subject><subject>Scattering</subject><subject>Stochastic processes</subject><subject>Wireless communication</subject><issn>1536-1225</issn><issn>1548-5757</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFZ_gHgJeE7dyW7241iDtkJFaRWPy2Y7aVPabN1Nkf57EypeZgbmeWfgIeQW6AiA6ofZ-Ot9lFHgo4wpkJKdkQHkXKW5zOV5PzORQpbll-Qqxg2lIEXOBmQ-Tibod9iGY_poIy6TRevd2sa2dkmxtk2D2-TVL7ta-ZBM69U6Xeyx4-a23v7YY1Ic2rZuVsnCYWND7eM1uajsNuLNXx-Sz-enj2Kazt4mL8V4lrpMszatrONYsVJLzpQoJeeO5wxz65wUjgmuhNBgS6m4RC458jJTQIEJVpaltWxI7k9398F_HzC2ZuMPoeleGhBaU6EZiI6CE-WCjzFgZfah3tlwNEBNr8706kyvzvyp6zJ3p0yNiP-80Epm3foXJW1pRg</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Binghao Chen</creator><creator>Zhangdui Zhong</creator><creator>Bo Ai</creator><creator>Michelson, David G.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20150101</creationdate><title>A Geometry-Based Stochastic Channel Model for High-Speed Railway Cutting Scenarios</title><author>Binghao Chen ; Zhangdui Zhong ; Bo Ai ; Michelson, David G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-fac4ef3b974386b744c453e5acc76c36486691ab7847e474e4b28101363bbbaa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Channel models</topic><topic>Cluster size</topic><topic>Fading</topic><topic>geometry-based stochastic model</topic><topic>high-speed railway</topic><topic>MIMO</topic><topic>Rail transportation</topic><topic>Scattering</topic><topic>Stochastic processes</topic><topic>Wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>Binghao Chen</creatorcontrib><creatorcontrib>Zhangdui Zhong</creatorcontrib><creatorcontrib>Bo Ai</creatorcontrib><creatorcontrib>Michelson, David G.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE antennas and wireless propagation letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Binghao Chen</au><au>Zhangdui Zhong</au><au>Bo Ai</au><au>Michelson, David G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Geometry-Based Stochastic Channel Model for High-Speed Railway Cutting Scenarios</atitle><jtitle>IEEE antennas and wireless propagation letters</jtitle><stitle>LAWP</stitle><date>2015-01-01</date><risdate>2015</risdate><volume>14</volume><spage>851</spage><epage>854</epage><pages>851-854</pages><issn>1536-1225</issn><eissn>1548-5757</eissn><coden>IAWPA7</coden><abstract>The scattering issue in the channel model for a railway cutting - a man-made trough or valley that carries a railway at its base - that is applicable to high-speed railway is discussed. The scattering components are rich in cutting and can be modeled by a cluster to enhance the accuracy and efficiency of the channel model, which is based upon geometry-based stochastic channel modeling. The channel parameters are extracted from measurement data collected along the Zhengxi high-speed railway. The size of the cluster is determined by the structure of cutting and channel parameters, such as pathloss exponent and Ricean K factor. A constraint condition of the cluster size is derived based upon theoretical analysis and verified by measurement data.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LAWP.2014.2381773</doi><tpages>4</tpages></addata></record> |
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subjects | Channel models Cluster size Fading geometry-based stochastic model high-speed railway MIMO Rail transportation Scattering Stochastic processes Wireless communication |
title | A Geometry-Based Stochastic Channel Model for High-Speed Railway Cutting Scenarios |
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