Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks
In this paper we describe the hardware (HW) implementation of a discrete-time channel matrix computation and a multiuser detection (MUD) scheme.We propose a MUD scheme based on recurrent neural networks (RNN) for the TDD mode of UMTS Terrestrial Radio Access. This algorithm achieves a performance wh...
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description | In this paper we describe the hardware (HW) implementation of a discrete-time channel matrix computation and a multiuser detection (MUD) scheme.We propose a MUD scheme based on recurrent neural networks (RNN) for the TDD mode of UMTS Terrestrial Radio Access. This algorithm achieves a performance which is close to the optimum MUD, while keeping the computational complexity low. To reach the high real-time data throughput we implemented the algorithm with parallel multipliers on a field programmable gate array (FPGA). |
doi_str_mv | 10.1007/3-540-46117-5_116 |
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This algorithm achieves a performance which is close to the optimum MUD, while keeping the computational complexity low. To reach the high real-time data throughput we implemented the algorithm with parallel multipliers on a field programmable gate array (FPGA).</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540441083</identifier><identifier>ISBN: 3540441085</identifier><identifier>EISBN: 9783540461173</identifier><identifier>EISBN: 3540461175</identifier><identifier>DOI: 10.1007/3-540-46117-5_116</identifier><identifier>OCLC: 969642548</identifier><identifier>LCCallNum: QA76.9.S88</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Channel Matrix ; Code Division Multiple Access ; Computer science; control theory; systems ; Connectionism. Neural networks ; Exact sciences and technology ; Field Programmable Gate Array ; Hardware Implementation ; Radiocommunications ; Recurrent Neural Network ; Telecommunications ; Telecommunications and information theory</subject><ispartof>Field-Programmable Logic and Applications: Reconfigurable Computing Is Going Mainstream, 2002, Vol.2438, p.1097-1100</ispartof><rights>Springer-Verlag Berlin Heidelberg 2002</rights><rights>2003 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/3072405-l.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/3-540-46117-5_116$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/3-540-46117-5_116$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,779,780,784,789,790,793,4050,4051,27925,38255,41442,42511</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14539468$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Renovell, Michel</contributor><contributor>Zipf, Peter</contributor><contributor>Glesner, Manfred</contributor><contributor>Renovell, Michel</contributor><contributor>Zipf, Peter</contributor><contributor>Glesner, Manfred</contributor><creatorcontrib>Schlecker, Wolfgang</creatorcontrib><creatorcontrib>Engelhart, Achim</creatorcontrib><creatorcontrib>Teich, Werner G.</creatorcontrib><creatorcontrib>Pfieiderer, Hans-Jörg</creatorcontrib><title>Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks</title><title>Field-Programmable Logic and Applications: Reconfigurable Computing Is Going Mainstream</title><description>In this paper we describe the hardware (HW) implementation of a discrete-time channel matrix computation and a multiuser detection (MUD) scheme.We propose a MUD scheme based on recurrent neural networks (RNN) for the TDD mode of UMTS Terrestrial Radio Access. This algorithm achieves a performance which is close to the optimum MUD, while keeping the computational complexity low. To reach the high real-time data throughput we implemented the algorithm with parallel multipliers on a field programmable gate array (FPGA).</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Channel Matrix</subject><subject>Code Division Multiple Access</subject><subject>Computer science; control theory; systems</subject><subject>Connectionism. Neural networks</subject><subject>Exact sciences and technology</subject><subject>Field Programmable Gate Array</subject><subject>Hardware Implementation</subject><subject>Radiocommunications</subject><subject>Recurrent Neural Network</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><issn>0302-9743</issn><isbn>9783540441083</isbn><isbn>3540441085</isbn><isbn>9783540461173</isbn><isbn>3540461175</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2002</creationdate><recordtype>book_chapter</recordtype><recordid>eNpFkMtOAzEMRYN4iAr6Aexmw3IgjpNMsuQNUgGJx4ZNlGZcKEw7QzIjxN8TSiW8sWzfcyVfxg6AHwHn1TGWSvJSaoCqVA5Ab7CxrQzm7WqJm_-zBG5wi404clHaSuIOG1lttRRKml02Tumd50KBIMyIvVz7WH_5SMXNomtoQcve9_N2WbSzwhe3Q9PPh0SxOKeewurwGN6yrDj1ieoizw8UhhgzV9zREH2TW__Vxo-0z7Znvkk0Xvc99nx58XR2XU7ur27OTiZlB0brUgX0YBQX0kpVo9ZcKyO8VIErBVQFqrjAoLjF2iisbG0NSLR-CiTRT3GPHf75dj4F38yiX4Z5cl2cL3z8diAVWqlN1h3_6VI-LV8pumnbfiQH3P2m7NDl_NwqULdKORNq7Rzbz4FS7-gXCfnZ_Gh4811PMTnklZA8IwIyBhZ_AGWYesE</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Schlecker, Wolfgang</creator><creator>Engelhart, Achim</creator><creator>Teich, Werner G.</creator><creator>Pfieiderer, Hans-Jörg</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2002</creationdate><title>Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks</title><author>Schlecker, Wolfgang ; Engelhart, Achim ; Teich, Werner G. ; Pfieiderer, Hans-Jörg</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p1866-5c3a185024945d36606582a45c0551e7ce7023c5093d85379d981439ab1e43ab3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Channel Matrix</topic><topic>Code Division Multiple Access</topic><topic>Computer science; control theory; systems</topic><topic>Connectionism. Neural networks</topic><topic>Exact sciences and technology</topic><topic>Field Programmable Gate Array</topic><topic>Hardware Implementation</topic><topic>Radiocommunications</topic><topic>Recurrent Neural Network</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schlecker, Wolfgang</creatorcontrib><creatorcontrib>Engelhart, Achim</creatorcontrib><creatorcontrib>Teich, Werner G.</creatorcontrib><creatorcontrib>Pfieiderer, Hans-Jörg</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schlecker, Wolfgang</au><au>Engelhart, Achim</au><au>Teich, Werner G.</au><au>Pfieiderer, Hans-Jörg</au><au>Renovell, Michel</au><au>Zipf, Peter</au><au>Glesner, Manfred</au><au>Renovell, Michel</au><au>Zipf, Peter</au><au>Glesner, Manfred</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks</atitle><btitle>Field-Programmable Logic and Applications: Reconfigurable Computing Is Going Mainstream</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2002</date><risdate>2002</risdate><volume>2438</volume><spage>1097</spage><epage>1100</epage><pages>1097-1100</pages><issn>0302-9743</issn><isbn>9783540441083</isbn><isbn>3540441085</isbn><eisbn>9783540461173</eisbn><eisbn>3540461175</eisbn><abstract>In this paper we describe the hardware (HW) implementation of a discrete-time channel matrix computation and a multiuser detection (MUD) scheme.We propose a MUD scheme based on recurrent neural networks (RNN) for the TDD mode of UMTS Terrestrial Radio Access. This algorithm achieves a performance which is close to the optimum MUD, while keeping the computational complexity low. To reach the high real-time data throughput we implemented the algorithm with parallel multipliers on a field programmable gate array (FPGA).</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/3-540-46117-5_116</doi><oclcid>969642548</oclcid><tpages>4</tpages></addata></record> |
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ispartof | Field-Programmable Logic and Applications: Reconfigurable Computing Is Going Mainstream, 2002, Vol.2438, p.1097-1100 |
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language | eng |
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source | Springer Books |
subjects | Applied sciences Artificial intelligence Channel Matrix Code Division Multiple Access Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Field Programmable Gate Array Hardware Implementation Radiocommunications Recurrent Neural Network Telecommunications Telecommunications and information theory |
title | Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks |
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