Pilot Signal Design for Massive MIMO Systems: A Received Signal-To-Noise-Ratio-Based Approach

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dc.contributor.authorSo, Jung-Hoko
dc.contributor.authorKim, Dong Gunko
dc.contributor.authorLee, Yuniko
dc.contributor.authorSung, Young-Chulko
dc.date.accessioned2015-06-24T02:15:35Z-
dc.date.available2015-06-24T02:15:35Z-
dc.date.created2014-12-19-
dc.date.created2014-12-19-
dc.date.issued2015-05-
dc.identifier.citationIEEE SIGNAL PROCESSING LETTERS, v.22, no.5, pp.549 - 553-
dc.identifier.issn1070-9908-
dc.identifier.urihttp://hdl.handle.net/10203/198962-
dc.description.abstractIn this letter, the pilot signal design for massive MIMO systems to maximize the training-based received signal-to-noise ratio (SNR) is considered under two channel models: block Gauss-Markov and block independent and identically distributed (i.i.d.) channel models. First, it is shown that under the block Gauss-Markov channel model, the optimal pilot design problem reduces to a semi-definite programming (SDP) problem, which can be solved numerically by a standard convex optimization tool. Second, under the block i.i.d. channel model, an optimal solution is obtained in closed form. Numerical results show that the proposed method yields noticeably better performance than other existing pilot design methods in terms of received SNR.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectWIRELESS-
dc.subjectANTENNAS-
dc.titlePilot Signal Design for Massive MIMO Systems: A Received Signal-To-Noise-Ratio-Based Approach-
dc.typeArticle-
dc.identifier.wosid000344988900001-
dc.identifier.scopusid2-s2.0-84908696353-
dc.type.rimsART-
dc.citation.volume22-
dc.citation.issue5-
dc.citation.beginningpage549-
dc.citation.endingpage553-
dc.citation.publicationnameIEEE SIGNAL PROCESSING LETTERS-
dc.identifier.doi10.1109/LSP.2014.2364180-
dc.contributor.localauthorSung, Young-Chul-
dc.type.journalArticleArticle-
dc.subject.keywordPlusWIRELESS-
dc.subject.keywordPlusANTENNAS-
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