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dc.contributor.authorChao, Chi-Liangen_US
dc.contributor.authorTsai, Shang-Hoen_US
dc.contributor.authorHsu, Terng-Yinen_US
dc.date.accessioned2014-12-08T15:11:37Z-
dc.date.available2014-12-08T15:11:37Z-
dc.date.issued2011-05-01en_US
dc.identifier.issn1536-1276en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TWC.2011.030311.100106en_US
dc.identifier.urihttp://hdl.handle.net/11536/8909-
dc.description.abstractWe design equal gain precoders with scalar quantization in MIMO systems with limited feedback, which do not require the predefined codebook. In such precoders, bit allocation can be used to quantize the precoding vector/matrix to further improve the system performance. There are two conventional bit allocation schemes. One is the uniform bit allocation and the other is the optimal bit allocation obtained by using exhaustive search. The uniform bit allocation is simple but turns out to have obvious performance degradation. On the other hand, the exhaustive search method leads to the optimal performance. However, its computational complexity is extremely high and may be somewhat impractical to be realized. In this paper, we propose two bit allocation schemes for the MIMO equal gain precoder with scalar quantization. Both of the proposed methods are with low complexity and their performance is close to the optimal scheme. Consequently, the proposed bit allocations provide good trade-off between performance and complexity.en_US
dc.language.isoen_USen_US
dc.subjectBit allocationen_US
dc.subjectMIMOen_US
dc.subjectscalar quantized (SQ)en_US
dc.subjectequal gain precoderen_US
dc.subjectlimited feedbacken_US
dc.titleBit Allocation Schemes for MIMO Equal Gain Precodingen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TWC.2011.030311.100106en_US
dc.identifier.journalIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSen_US
dc.citation.volume10en_US
dc.citation.issue5en_US
dc.citation.spage1345en_US
dc.citation.epage1350en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000290992300001-
dc.citation.woscount1-
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