Precoding of Orthogonal Space-Time Block Codes in Arbitrarily Correlated MIMO Channels: Iterative and Closed-Form Solutions

A memoryless precoder is designed for orthogonal space-time block codes (OSTBCs) for multiple-input multiple-output (MIMO) channels exhibiting joint transmit-receive correlation. Unlike most previous similar works which concentrate on transmit correlation only and pair-wise error probability (PEP) m...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 6; H. 3; S. 1072 - 1082
Hauptverfasser:	Hjorungnes, A., Gesbert, D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway, NJ IEEE 01.03.2007 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Block codes Channels Closed-form solution Codes Correlation Directive antennas Downlink Error analysis Exact sciences and technology Exact solutions Handles Mathematical analysis Mathematical models MIMO Pairwise error probability Radiocommunications Receiving antennas Studies Telecommunications Telecommunications and information theory Transmitters Transmitters. Receivers Transmitting antennas Correlation coefficient MIMO system Block code Space-time codes minimum exact symbol error rate Error probability Error estimation precoder optimization Transmitter Iterative method orthogonal space-time block code Algorithm Optimization power constraint MIMO Symbol error rate
ISSN:	1536-1276, 1558-2248
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Abstract	A memoryless precoder is designed for orthogonal space-time block codes (OSTBCs) for multiple-input multiple-output (MIMO) channels exhibiting joint transmit-receive correlation. Unlike most previous similar works which concentrate on transmit correlation only and pair-wise error probability (PEP) metrics. 1) The precoder is designed to minimize the exact symbol error rate (SER) as function of the channel correlation coefficients, which are fed back to the transmitter. 2) The correlation is arbitrary as it may or may not follow the so-called Kronecker structure. 3) The proposed method can handle general propagation settings including those arising from a cooperative macro-diversity (multi-base) scenario. We present two algorithms. The first is suboptimal, but provides a simple closed-form precoder that handles the case of uncorrelated transmitters, correlated receivers. The second is a fast-converging numerical optimization of the exact SEE which covers the general case. Finally, a number of novel properties of the minimum SER precoder are derived
AbstractList	A memoryless precoder is designed for orthogonal space-time block codes (OSTBCs) for multiple-input multiple-output (MIMO) channels exhibiting joint transmit-receive correlation. Unlike most previous similar works which concentrate on transmit correlation only and pair-wise error probability (PEP) metrics. 1) The precoder is designed to minimize the exact symbol error rate (SER) as function of the channel correlation coefficients, which are fed back to the transmitter. 2) The correlation is arbitrary as it may or may not follow the so-called Kronecker structure. 3) The proposed method can handle general propagation settings including those arising from a cooperative macro-diversity (multi-base) scenario. We present two algorithms. The first is suboptimal, but provides a simple closed-form precoder that handles the case of uncorrelated transmitters, correlated receivers. The second is a fast-converging numerical optimization of the exact SEE which covers the general case. Finally, a number of novel properties of the minimum SER precoder are derived A memoryless precoder is designed for orthogonal space-time block codes (OSTBCs) for multiple-input multiple-output (MIMO) channels exhibiting joint transmit-receive correlation. Unlike most previous similar works which concentrate on transmit correlation only and pair-wise error probability (PEP) metrics. 1) The precoder is designed to minimize the exact symbol error rate (SER) as function of the channel correlation coefficients, which are fed back to the transmitter. 2) The correlation is arbitrary as it may or may not follow the so-called Kronecker structure. 3) The proposed method can handle general propagation settings including those arising from a cooperative macro-diversity (multi-base) scenario. We present two algorithms. The first is suboptimal, but provides a simple closed-form precoder that handles the case of uncorrelated transmitters, correlated receivers. The second is a fast-converging numerical optimization of the exact SEE which covers the general case. Finally, a number of novel properties of the minimum SER precoder are derived. [...] a number of novel properties of the minimum SER precoder are derived
Author	Hjorungnes, A. Gesbert, D.
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Cites_doi	10.1109/TIT.2003.817829 10.1109/TIT.2003.813565 10.1002/0471200697 10.1109/TWC.2005.853915 10.1109/GLOCOM.2004.1377923 10.1049/ip-h-1.1983.0004 10.1109/LCOMM.2002.1010867 10.1109/GLOCOM.2001.965093 10.1017/CBO9780511810817 10.1109/TIT.2004.839533 10.1017/CBO9780511840371 10.1109/TWC.2006.1611076 10.1109/WSA.2004.1407681 10.1109/18.490565 10.1109/18.985950 10.1109/ICASSP.2003.1199868 10.1109/JSAC.2003.809458 10.1109/GLOCOM.2002.1188386 10.1109/49.753730 10.1109/ICASSP.2004.1326892 10.1109/26.957388 10.1109/TWC.2005.847029
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SubjectTerms	Applied sciences Block codes Channels Closed-form solution Codes Correlation Directive antennas Downlink Error analysis Exact sciences and technology Exact solutions Handles Mathematical analysis Mathematical models MIMO Pairwise error probability Radiocommunications Receiving antennas Studies Telecommunications Telecommunications and information theory Transmitters Transmitters. Receivers Transmitting antennas
Title	Precoding of Orthogonal Space-Time Block Codes in Arbitrarily Correlated MIMO Channels: Iterative and Closed-Form Solutions
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