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Efficient QR-Based Multi-Mode Precoding for Limited Feedback Multi-User MIMO Systems

dc.citation.epage987en_US
dc.citation.issue2en_US
dc.citation.spage969en_US
dc.citation.volume74en_US
dc.citation.woscount1
dc.contributor.authorPan, Chien-Hungen_US
dc.contributor.authorLee, Ta-Sungen_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.date.accessioned2014-12-08T15:34:37Z
dc.date.available2014-12-08T15:34:37Z
dc.date.issued2014-01-01en_US
dc.description.abstractThis paper proposes QR-based criteria for efficient selection of multi-mode precoders in multi-user multiple-input multiple-output (MU-MIMO) precoded systems with a limited feedback. In particular, a MU-MIMO QR based precoding scheme is developed which takes advantage of the overall precoder design among users in conjunction with QR detection. A selection criterion is developed to identify the precoder that yields the maximum free distance. Efficient mode selection and tree search strategies are adopted to reduce the complexity associated with the identification of the optimum precoder. To further improve the detection performance in correlated channels, an efficient QR-based MMSE V-BLAST detector is proposed. Computer simulations confirm that the proposed QR-based precoding scheme attains the performance of existing schemes with a significantly lower complexity level.en_US
dc.identifier.doi10.1007/s11277-013-1333-3en_US
dc.identifier.issn0929-6212en_US
dc.identifier.journalWIRELESS PERSONAL COMMUNICATIONSen_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11277-013-1333-3en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/23630
dc.identifier.wosnumberWOS:000329944800047
dc.language.isoen_USen_US
dc.subjectQR decompositionen_US
dc.subjectMulti-mode precodingen_US
dc.subjectMultiple-input multiple-outputen_US
dc.subjectLimited feedback systemen_US
dc.titleEfficient QR-Based Multi-Mode Precoding for Limited Feedback Multi-User MIMO Systemsen_US
dc.typeArticleen_US

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