English  |  正體中文  |  简体中文  |  Items with full text/Total items : 52589/87783 (60%)
Visitors : 9385095      Online Users : 46
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/109079

    Title: An Eigen-based Approach for Enhancing Matrix Inversion Approximation in Massive MIMO Systems
    Authors: Kelvin Kuang-Chi Lee;Chiao-En Chen
    Keywords: Marcenko-Pastur law;Neumann series;matrix inversion;massive MIMO;zero-forcing;random matrix
    Date: 2016-10-26
    Issue Date: 2017-01-04 02:10:21 (UTC+8)
    Publisher: IEEE
    Abstract: This correspondence presents a new matrix inversion approximation (MIA) method for massive multiple-inputmultiple- output (MIMO) systems. In contrast to the existing methods which are mostly derived from the Neumann series expansion framework, additional coefficients have been introduced in our proposed method to enhance the precision of approximation. We propose an efficient algorithm for the coefficient design which consists of an eigenvalue estimation procedure derived from random matrix theory, and a least-squares fitting procedure that solves a low-dimension over-determined system of linear equations. Complexity analysis and simulation results show that our eigen-based MIA method exhibits practically comparable computational complexity while achieving substantial performance enhancement compared to other benchmark methods.
    Relation: IEEE Transactions on Vehicular Technology 66(6), p.5480-5484
    DOI: 10.1109/TVT.2016.2622010
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    An Eigen-based Approach for Enhancing Matrix Inversion Approximation in Massive MIMO Systems.pdf486KbAdobe PDF0View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback