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Reduced-Complexity Interpolation-based QR Decomposition using Partial Layer Mapping

dc.citation.epage2384en_US
dc.citation.spage2381en_US
dc.citation.woscount0en_US
dc.contributor.authorChai, Li-Weien_US
dc.contributor.authorChiu, Po-Linen_US
dc.contributor.authorHuang, Yuan-Haoen_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.date.accessioned2017-04-21T06:50:01Z
dc.date.available2017-04-21T06:50:01Z
dc.date.issued2011en_US
dc.description.abstractThis paper presents a double one-dimension interpolation-based QR decomposition (DOD-IQRD) algorithm and a partial layer-mapping (PLM) scheme for multiple-input multiple-output (MIMO) orthogonal-frequency-division-multiplexing (OFDM) systems. The proposed algorithm integrates the calculations of frequency-domain channel estimation and QR decomposition for MIMO-OFDM systems, and thus requires less computational complexity than traditional scheme. Besides, the proposed partial layer-mapping scheme can further reduce computational complexity with negligible performance degradation. The analysis results show that the double one-dimension interpolation-based QR decomposition algorithm reduces the complexity to 45.2% of the traditional algorithm in the 3GPP-LTE 4x4 MIMO-OFDM system. The proposed QR decomposition algorithm combined with the partial layer-mapping scheme can further save up to 70.5% computational complexity for MIMO-OFDM systems.en_US
dc.identifier.isbn978-1-4244-9474-3en_US
dc.identifier.issn0271-4302en_US
dc.identifier.journal2011 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/134820
dc.identifier.wosnumberWOS:000297265302175en_US
dc.language.isoen_USen_US
dc.titleReduced-Complexity Interpolation-based QR Decomposition using Partial Layer Mappingen_US
dc.typeProceedings Paperen_US

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