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Exact Symbol Error Rate and Diversity Analysis of Orthogonalized Spatial Multiplexing Systems with Optimal Precoding

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dc.contributor.authorKim, Young-Tae-
dc.contributor.authorKim, Jaesin-
dc.contributor.authorKim, Jihoon-
dc.contributor.authorLee, Inkyu-
dc.date.accessioned2021-09-07T05:38:56Z-
dc.date.available2021-09-07T05:38:56Z-
dc.date.created2021-06-19-
dc.date.issued2011-12-
dc.identifier.issn0090-6778-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/111036-
dc.description.abstractOrthogonalized spatial multiplexing (OSM) systems with optimal precoding, denoted by POSM, was recently proposed which allows a single-symbol decodable maximum likelihood receiver in closed-loop multiple-input multiple-output (MIMO) systems. It was shown that the performance of the POSM is identical to that of the optimal closed-loop MIMO system in terms of the minimum distance. In this letter, we derive an exact symbol error rate (SER) expression of the POSM for 4-QAM and 16-QAM in Rayleigh fading channels. By using polar coordinates and the singular value distributions, the final expression of the SER can be evaluated with a single-integral form. Also, in the high SNR regime, we obtain a simple average SER expression of the POSM which shows that the POSM with two transmitting antennas achieves full diversity. Simulation results confirm the accuracy of our derived analysis.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectUNIFORM CHANNEL DECOMPOSITION-
dc.subjectLOOP MIMO SYSTEMS-
dc.subjectDESIGN-
dc.subjectPERFORMANCE-
dc.subjectCRITERION-
dc.subjectWIRELESS-
dc.titleExact Symbol Error Rate and Diversity Analysis of Orthogonalized Spatial Multiplexing Systems with Optimal Precoding-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Inkyu-
dc.identifier.doi10.1109/TCOMM.2011.081111.090447-
dc.identifier.scopusid2-s2.0-84655167240-
dc.identifier.wosid000298385900014-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON COMMUNICATIONS, v.59, no.12, pp.3294 - 3300-
dc.relation.isPartOfIEEE TRANSACTIONS ON COMMUNICATIONS-
dc.citation.titleIEEE TRANSACTIONS ON COMMUNICATIONS-
dc.citation.volume59-
dc.citation.number12-
dc.citation.startPage3294-
dc.citation.endPage3300-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusUNIFORM CHANNEL DECOMPOSITION-
dc.subject.keywordPlusLOOP MIMO SYSTEMS-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusCRITERION-
dc.subject.keywordPlusWIRELESS-
dc.subject.keywordAuthorSpatial multiplexing-
dc.subject.keywordAuthormultiple-input multiple-output (MIMO)-
dc.subject.keywordAuthorsymbol error rate (SER)-
dc.subject.keywordAuthordiversity analysis-
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공과대학 (전기전자공학부)
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