Impact of Limited Feedback on the Performance of MIMO Macrodiversity Transmission
In this paper, we study the performance of the multiple-input multiple-output macrodiversity transmission with limited feedback. The downlink scenario, where multiple transmitters serve the user simultaneously, is considered. We find it necessary to modify the model of the quantized channel by Jinal...
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creator | Erlin Zeng Shihua Zhu Xuewen Liao Zhimeng Zhong |
description | In this paper, we study the performance of the multiple-input multiple-output macrodiversity transmission with limited feedback. The downlink scenario, where multiple transmitters serve the user simultaneously, is considered. We find it necessary to modify the model of the quantized channel by Jinal (2006) such that the phase ambiguity in the vector quantization procedure can be characterized. Using the modified model, we show that the conventional limited feedback methods cannot obtain the macrodiversity gain even when the size of the codebook is asymptotically large, and that the macrodiversity gain can be attained by adding only one bit of phase feedback. Our analysis can apply to both random vector quantization and any fixed codebook setup, and is verified by the simulation results. |
doi_str_mv | 10.1109/WCNC.2008.124 |
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The downlink scenario, where multiple transmitters serve the user simultaneously, is considered. We find it necessary to modify the model of the quantized channel by Jinal (2006) such that the phase ambiguity in the vector quantization procedure can be characterized. Using the modified model, we show that the conventional limited feedback methods cannot obtain the macrodiversity gain even when the size of the codebook is asymptotically large, and that the macrodiversity gain can be attained by adding only one bit of phase feedback. Our analysis can apply to both random vector quantization and any fixed codebook setup, and is verified by the simulation results.</description><identifier>ISSN: 1525-3511</identifier><identifier>ISBN: 1424419972</identifier><identifier>ISBN: 9781424419975</identifier><identifier>EISSN: 1558-2612</identifier><identifier>DOI: 10.1109/WCNC.2008.124</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Bandwidth ; Downlink ; Feedback ; MIMO ; Multiaccess communication ; Performance analysis ; Relays ; Transmitters ; Vector quantization</subject><ispartof>2008 IEEE Wireless Communications and Networking Conference, 2008, p.672-677</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4489155$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4489155$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Erlin Zeng</creatorcontrib><creatorcontrib>Shihua Zhu</creatorcontrib><creatorcontrib>Xuewen Liao</creatorcontrib><creatorcontrib>Zhimeng Zhong</creatorcontrib><title>Impact of Limited Feedback on the Performance of MIMO Macrodiversity Transmission</title><title>2008 IEEE Wireless Communications and Networking Conference</title><addtitle>WCNC</addtitle><description>In this paper, we study the performance of the multiple-input multiple-output macrodiversity transmission with limited feedback. The downlink scenario, where multiple transmitters serve the user simultaneously, is considered. We find it necessary to modify the model of the quantized channel by Jinal (2006) such that the phase ambiguity in the vector quantization procedure can be characterized. Using the modified model, we show that the conventional limited feedback methods cannot obtain the macrodiversity gain even when the size of the codebook is asymptotically large, and that the macrodiversity gain can be attained by adding only one bit of phase feedback. Our analysis can apply to both random vector quantization and any fixed codebook setup, and is verified by the simulation results.</description><subject>Analytical models</subject><subject>Bandwidth</subject><subject>Downlink</subject><subject>Feedback</subject><subject>MIMO</subject><subject>Multiaccess communication</subject><subject>Performance analysis</subject><subject>Relays</subject><subject>Transmitters</subject><subject>Vector quantization</subject><issn>1525-3511</issn><issn>1558-2612</issn><isbn>1424419972</isbn><isbn>9781424419975</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE1LAzEURYMfYFtdunKTPzA17yWZSZYy2FporULFZUmTNxh1ZkoyCP33tujqXjiXs7iM3YKYAgh7_14_11MUwkwB1RkbgdamwBLwnI1BoVJgbYUXJ4C6kBrgio1z_hQChVZqxF4X7d75gfcNX8Y2DhT4jCjsnP_ifceHD-IvlJo-ta7zdJqtFqs1Xzmf-hB_KOU4HPgmuS63MefYd9fssnHfmW7-c8LeZo-b-qlYrueL-mFZRKj0UJReVKZsJIgQiCyVEpVsUFNwxkkJ2rmyskRoZRNMucNwLNIaNAGk91ZO2N2fNxLRdp9i69Jhq5SxxxPkL8jVT6Q</recordid><startdate>200803</startdate><enddate>200803</enddate><creator>Erlin Zeng</creator><creator>Shihua Zhu</creator><creator>Xuewen Liao</creator><creator>Zhimeng Zhong</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200803</creationdate><title>Impact of Limited Feedback on the Performance of MIMO Macrodiversity Transmission</title><author>Erlin Zeng ; Shihua Zhu ; Xuewen Liao ; Zhimeng Zhong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-6c0786f310ddee9e63243f25eda8a3315aa679ee293fd86b2d93f39828d13cc93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Analytical models</topic><topic>Bandwidth</topic><topic>Downlink</topic><topic>Feedback</topic><topic>MIMO</topic><topic>Multiaccess communication</topic><topic>Performance analysis</topic><topic>Relays</topic><topic>Transmitters</topic><topic>Vector quantization</topic><toplevel>online_resources</toplevel><creatorcontrib>Erlin Zeng</creatorcontrib><creatorcontrib>Shihua Zhu</creatorcontrib><creatorcontrib>Xuewen Liao</creatorcontrib><creatorcontrib>Zhimeng Zhong</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Erlin Zeng</au><au>Shihua Zhu</au><au>Xuewen Liao</au><au>Zhimeng Zhong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Impact of Limited Feedback on the Performance of MIMO Macrodiversity Transmission</atitle><btitle>2008 IEEE Wireless Communications and Networking Conference</btitle><stitle>WCNC</stitle><date>2008-03</date><risdate>2008</risdate><spage>672</spage><epage>677</epage><pages>672-677</pages><issn>1525-3511</issn><eissn>1558-2612</eissn><isbn>1424419972</isbn><isbn>9781424419975</isbn><abstract>In this paper, we study the performance of the multiple-input multiple-output macrodiversity transmission with limited feedback. The downlink scenario, where multiple transmitters serve the user simultaneously, is considered. We find it necessary to modify the model of the quantized channel by Jinal (2006) such that the phase ambiguity in the vector quantization procedure can be characterized. Using the modified model, we show that the conventional limited feedback methods cannot obtain the macrodiversity gain even when the size of the codebook is asymptotically large, and that the macrodiversity gain can be attained by adding only one bit of phase feedback. Our analysis can apply to both random vector quantization and any fixed codebook setup, and is verified by the simulation results.</abstract><pub>IEEE</pub><doi>10.1109/WCNC.2008.124</doi><tpages>6</tpages></addata></record> |
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subjects | Analytical models Bandwidth Downlink Feedback MIMO Multiaccess communication Performance analysis Relays Transmitters Vector quantization |
title | Impact of Limited Feedback on the Performance of MIMO Macrodiversity Transmission |
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