Joint source and relay optimization for multiuser MIMO relay communication systems
In this paper, we design the source precoding matrices and the relay amplifying matrix of an amplify-and-forward multiuser multiple-input multiple-output (MIMO) relay communication system. The minimum mean-squared error (MSE) is taken as the design criterion. We propose an alternating technique to e...
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description | In this paper, we design the source precoding matrices and the relay amplifying matrix of an amplify-and-forward multiuser multiple-input multiple-output (MIMO) relay communication system. The minimum mean-squared error (MSE) is taken as the design criterion. We propose an alternating technique to efficiently solve the nonconvex source and relay optimization problem. It is shown that both the optimal source and relay matrices have a beamforming structure. Simulation results demonstrate that the proposed source and relay design algorithms perform much better than the existing techniques in terms of both MSE and bit-error-rate. |
doi_str_mv | 10.1109/ICSPCS.2010.5709701 |
format | Conference Proceeding |
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The minimum mean-squared error (MSE) is taken as the design criterion. We propose an alternating technique to efficiently solve the nonconvex source and relay optimization problem. It is shown that both the optimal source and relay matrices have a beamforming structure. Simulation results demonstrate that the proposed source and relay design algorithms perform much better than the existing techniques in terms of both MSE and bit-error-rate.</description><identifier>ISBN: 9781424479085</identifier><identifier>ISBN: 1424479088</identifier><identifier>EISBN: 142447907X</identifier><identifier>EISBN: 9781424479061</identifier><identifier>EISBN: 1424479061</identifier><identifier>EISBN: 9781424479078</identifier><identifier>DOI: 10.1109/ICSPCS.2010.5709701</identifier><language>eng</language><publisher>IEEE</publisher><subject>Bit error rate ; Covariance matrix ; Joints ; MIMO ; Optimization ; Relays ; Signal to noise ratio</subject><ispartof>2010 4th International Conference on Signal Processing and Communication Systems, 2010, p.1-6</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5709701$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5709701$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Khandaker, M R A</creatorcontrib><creatorcontrib>Yue Rong</creatorcontrib><title>Joint source and relay optimization for multiuser MIMO relay communication systems</title><title>2010 4th International Conference on Signal Processing and Communication Systems</title><addtitle>ICSPCS</addtitle><description>In this paper, we design the source precoding matrices and the relay amplifying matrix of an amplify-and-forward multiuser multiple-input multiple-output (MIMO) relay communication system. The minimum mean-squared error (MSE) is taken as the design criterion. We propose an alternating technique to efficiently solve the nonconvex source and relay optimization problem. It is shown that both the optimal source and relay matrices have a beamforming structure. Simulation results demonstrate that the proposed source and relay design algorithms perform much better than the existing techniques in terms of both MSE and bit-error-rate.</description><subject>Bit error rate</subject><subject>Covariance matrix</subject><subject>Joints</subject><subject>MIMO</subject><subject>Optimization</subject><subject>Relays</subject><subject>Signal to noise ratio</subject><isbn>9781424479085</isbn><isbn>1424479088</isbn><isbn>142447907X</isbn><isbn>9781424479061</isbn><isbn>1424479061</isbn><isbn>9781424479078</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UF1LwzAAjIigzv6CveQPdCZp0iSPUvyobEycgm8jaRKINM1o2of66y2su5fjjuM4DoA1RhuMkXysq8NHddgQNBuMI8kRvgL3mBJKuUT85xpkkouLFuwWZCn9ohmM8EKQO_D5Hn03wBTHvrFQdQb2tlUTjKfBB_-nBh876GIPw9gOfky2h7t6t19STQxh7HxzjqUpDTakB3DjVJtstvAKfL88f1Vv-Xb_WldP29zjguGcairmEUwrZExDhWk0K5FiDiPiSi1LSwWVzGghtTSFVg6TwmlijLFSO1yswPrc6621x1Pvg-qn43JD8Q915lMf</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Khandaker, M R A</creator><creator>Yue Rong</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201012</creationdate><title>Joint source and relay optimization for multiuser MIMO relay communication systems</title><author>Khandaker, M R A ; Yue Rong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1351-4b482735ba0ddc48dcb560a5f102f6b96e48495db89b9d3baf123fb2ddde9bf13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Bit error rate</topic><topic>Covariance matrix</topic><topic>Joints</topic><topic>MIMO</topic><topic>Optimization</topic><topic>Relays</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Khandaker, M R A</creatorcontrib><creatorcontrib>Yue Rong</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>Khandaker, M R A</au><au>Yue Rong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Joint source and relay optimization for multiuser MIMO relay communication systems</atitle><btitle>2010 4th International Conference on Signal Processing and Communication Systems</btitle><stitle>ICSPCS</stitle><date>2010-12</date><risdate>2010</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>9781424479085</isbn><isbn>1424479088</isbn><eisbn>142447907X</eisbn><eisbn>9781424479061</eisbn><eisbn>1424479061</eisbn><eisbn>9781424479078</eisbn><abstract>In this paper, we design the source precoding matrices and the relay amplifying matrix of an amplify-and-forward multiuser multiple-input multiple-output (MIMO) relay communication system. The minimum mean-squared error (MSE) is taken as the design criterion. We propose an alternating technique to efficiently solve the nonconvex source and relay optimization problem. It is shown that both the optimal source and relay matrices have a beamforming structure. Simulation results demonstrate that the proposed source and relay design algorithms perform much better than the existing techniques in terms of both MSE and bit-error-rate.</abstract><pub>IEEE</pub><doi>10.1109/ICSPCS.2010.5709701</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bit error rate Covariance matrix Joints MIMO Optimization Relays Signal to noise ratio |
title | Joint source and relay optimization for multiuser MIMO relay communication systems |
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