Joint Transceiver Optimization for Multiuser MIMO Relay Communication Systems
In this paper, we address the optimal source, relay, and receive matrices design for linear non-regenerative uplink multiuser multiple-input multiple-output (MIMO) relay communication systems. The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination node is adopted...
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| Veröffentlicht in: | IEEE transactions on signal processing 2012-11, Vol.60 (11), p.5977-5986 |
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| container_title | IEEE transactions on signal processing |
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| creator | Khandaker, M. R. A. Yue Rong |
| description | In this paper, we address the optimal source, relay, and receive matrices design for linear non-regenerative uplink multiuser multiple-input multiple-output (MIMO) relay communication systems. The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination node is adopted as our design criterion. We develop two iterative methods to solve the highly nonconvex joint source, relay, and receiver optimization problem. In particular, we show that for given source precoding matrices, the optimal relay amplifying matrix diagonalizes the source-relay-destination channel. While for fixed relay matrix and source matrices of all other users, the source matrix of each user has a general beamforming structure. Simulation results demonstrate that the proposed iterative source and relay optimization algorithms perform much better than existing techniques in terms of both MSE and bit-error-rate. |
| doi_str_mv | 10.1109/TSP.2012.2212013 |
| format | Article |
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A.</creatorcontrib><creatorcontrib>Yue Rong</creatorcontrib><title>Joint Transceiver Optimization for Multiuser MIMO Relay Communication Systems</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>In this paper, we address the optimal source, relay, and receive matrices design for linear non-regenerative uplink multiuser multiple-input multiple-output (MIMO) relay communication systems. The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination node is adopted as our design criterion. We develop two iterative methods to solve the highly nonconvex joint source, relay, and receiver optimization problem. In particular, we show that for given source precoding matrices, the optimal relay amplifying matrix diagonalizes the source-relay-destination channel. While for fixed relay matrix and source matrices of all other users, the source matrix of each user has a general beamforming structure. Simulation results demonstrate that the proposed iterative source and relay optimization algorithms perform much better than existing techniques in terms of both MSE and bit-error-rate.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Coding, codes</subject><subject>Communication systems</subject><subject>Design engineering</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Joints</subject><subject>Mathematical analysis</subject><subject>Matrices</subject><subject>Matrix methods</subject><subject>MIMO</subject><subject>MIMO relay</subject><subject>MMSE</subject><subject>multiuser</subject><subject>Optimization</subject><subject>Relay</subject><subject>Relays</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><subject>Transceivers</subject><subject>two-hop relay</subject><subject>Vectors</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkM1LAzEQxYMoWKt3wcuCCF62ZpLdZHOU4kelS8VW8BbSNAspu5ua7Ar1rzelpQeZwwzzfm8YHkLXgEcAWDws5u8jgoGMCIHY6QkagMggxRlnp3HGOU3zgn-do4sQ1hhDlgk2QOWbs22XLLxqgzb2x_hktulsY39VZ12bVM4nZV93tg9RKiflLPkwtdomY9c0fWv1HptvQ2eacInOKlUHc3XoQ_T5_LQYv6bT2ctk_DhNNRWsSw3Ty4LrnFWKFHQFKyYIobQytBBCGK4rqjVZ5UsTZU64EBkuRM7iFtNoo0N0v7-78e67N6GTjY3v17VqjeuDBMpyyAgneURv_6Fr1_s2ficBgAClPNYQ4T2lvQvBm0puvG2U30rAcpevjPnKXb7ykG-03B0Oq6BVXcUEtQ1HH2FcAGEkcjd7zhpjjjKLUiYy-gfHxII0</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Khandaker, M. 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A.</creatorcontrib><creatorcontrib>Yue Rong</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>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Khandaker, M. R. A.</au><au>Yue Rong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Joint Transceiver Optimization for Multiuser MIMO Relay Communication Systems</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2012-11-01</date><risdate>2012</risdate><volume>60</volume><issue>11</issue><spage>5977</spage><epage>5986</epage><pages>5977-5986</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>In this paper, we address the optimal source, relay, and receive matrices design for linear non-regenerative uplink multiuser multiple-input multiple-output (MIMO) relay communication systems. The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination node is adopted as our design criterion. We develop two iterative methods to solve the highly nonconvex joint source, relay, and receiver optimization problem. In particular, we show that for given source precoding matrices, the optimal relay amplifying matrix diagonalizes the source-relay-destination channel. While for fixed relay matrix and source matrices of all other users, the source matrix of each user has a general beamforming structure. Simulation results demonstrate that the proposed iterative source and relay optimization algorithms perform much better than existing techniques in terms of both MSE and bit-error-rate.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2012.2212013</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | IEEE transactions on signal processing, 2012-11, Vol.60 (11), p.5977-5986 |
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| language | eng |
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| subjects | Algorithms Applied sciences Coding, codes Communication systems Design engineering Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Joints Mathematical analysis Matrices Matrix methods MIMO MIMO relay MMSE multiuser Optimization Relay Relays Signal and communications theory Signal, noise Telecommunications and information theory Transceivers two-hop relay Vectors |
| title | Joint Transceiver Optimization for Multiuser MIMO Relay Communication Systems |
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