• DocumentCode
    76841
  • Title

    Low-complexity ZF precoding method for downlink of massive MIMO system

  • Author

    Yuwei Ren ; Guixian Xu ; Yingmin Wang ; Xin Su ; ChuanJun Li

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    51
  • Issue
    5
  • fYear
    2015
  • fDate
    3 5 2015
  • Firstpage
    421
  • Lastpage
    423
  • Abstract
    In massive multiple-input-multiple-output (MIMO) systems, the downlink zero-forcing (ZF) precoding method needs to compute the pseudoinverse of large matrices, which introduces high computational complexity, especially when the number of antennas is large or infinite. Although, based on Neumann series expansion, several approximation algorithms could reduce the complexity, calculating the optimisation coefficients would cost large amounts of resources and produce large delay. A novel method, also based on Neumann series expansion, is proposed. In this method, the multiplication of full matrices is transformed into multiplication of diagonal matrices by hollow matrices, effectively reducing computational complexity. Meanwhile, consideration of a simple expression of optimisation coefficients so as to avoid large delay is very useful in high-mobility scenarios. Analysis and simulation results show the effectiveness of the proposed method.
  • Keywords
    MIMO communication; approximation theory; communication complexity; matrix inversion; matrix multiplication; optimisation; precoding; series (mathematics); Neumann series expansion; antennas; approximation algorithms; computational complexity; diagonal matrices; downlink ZF precoding method; hollow matrices; massive MIMO system; matrices multiplication; matrix pseudoinverse computation; multiple input multiple output; optimisation coefficients; zero forcing;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2014.3602
  • Filename
    7047398