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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  Low Complexity MIMO Precoder Design Using LDL Channel Decomposition


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83684


    Title: Low Complexity MIMO Precoder Design Using LDL Channel Decomposition
    Authors: Che-Chen Chou;Jen-Ming Wu
    教師: 吳仁銘
    Date: 2011
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: IEEE International Conference on Communications (ICC), Kyoto, JAPAN, JUN 05-09, 2011
    Keywords: MIMO
    precoding
    channel decomposition
    singular value decomposition (SVD)
    LDL(H) decomposition
    subchannel gains uniformity
    Abstract: To exploit the multiplexing and the diversity gains in a multiple-input multiple-output (MIMO) wireless system, the singular value decomposition (SVD) is typically used to decompose the MIMO channel into parallel eigen-modes. However, the dynamics of the frequency selective channel fading variations often make the decomposed subchannels ill-conditioned and lead to unsatisfied performance in terms of bit error rate (BER). Recently, two improved SVD-based decomposition schemes, i.e. the geometric mean decomposition (GMD) and the uniform channel decomposition (UCD), are developed which try to achieve uniform subchannel gains. Unfortunately, both of them require even higher complexity than that of SVD with power allocation. In this paper, we propose a decomposition method, called LDL(H), which has moderate subchannel gains uniformity while exhibits the lowest complexity compared with that of aforementioned SVD-based schemes. Simulations are also given to show that the proposed LDL(H) scheme is more robust than all other schemes at higher SNR as channel estimation errors become severe.
    Relation Link: http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83684
    Appears in Collections:[電機工程學系] 會議論文
    [積體電路設計技術研發中心] 會議論文
    [通訊工程研究所] 會議論文

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