Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    A low complexity iterative soft-decision feedback MMSE-PIC detection algorithm for massive MIMO

    Access Status
    Fulltext not available
    Authors
    Fang, L.
    Xu, L.
    Guo, Q.
    Huang, D.
    Nordholm, Sven
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Fang, L. and Xu, L. and Guo, Q. and Huang, D. and Nordholm, S. 2015. A low complexity iterative soft-decision feedback MMSE-PIC detection algorithm for massive MIMO, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2939-2943.
    Source Title
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    DOI
    10.1109/ICASSP.2015.7178509
    ISBN
    9781467369978
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/42106
    Collection
    • Curtin Research Publications
    Abstract

    In MIMO applications, the minimum mean square error parallel interference cancellation (MMSE-PIC) based Soft-Input Soft-Output (SISO) detector has been widely adopted because of its low complexity and good bit error rate (BER) performance. In this paper, we firstly propose to use a Gaussian model based MMSE detection algorithm to implement MMSE-PIC with low complexity. This algorithm, which can detect a length-Nr received data block by a single Hermitian matrix (sized Nt × Nt) inversion, is especially preferable in Massive MIMO up-link applications where the number of transmit antennas Nt from each end terminal is much less than the number of receive antennas Nr in the Base Station. Then we derive a new method to calculate the matrix inversion by a linear combination of two matrices, which reduces the complexity from O(Nt 3) to O(Nt 2). At last, in order to improve the system performance for the first pass when there is no a priori information available, a self-iteration method is proposed and thus a system performance gain of 1dB to 2dB is achieved at the cost of modest complexity increase.

    Related items

    Showing items related by title, author, creator and subject.

    • Equalisation for carrierless amplitude and phase modulation
      Gao, Jason (2002)
      Carrierless amplitude and phase (CAP) modulation is generally regarded as a bandwidth efficient two-dimensional (2-D) passband line code. It is closely related to the pulse amplitude modulation (PAM) and quadrature amplitude ...
    • Joint source and relay optimization for two-way linear non-regenerative MIMO relay communications
      Rong, Yue (2012)
      In this paper, we investigate the challenging problem of joint source and relay optimization for two-way linear non-regenerative multiple-input multiple-output (MIMO) relay communication systems. We derive the optimal ...
    • A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming
      Fang, L.; Xu, L.; Guo, Q.; Huang, D.; Nordholm, Sven (2015)
      In this paper, after showing MMSE-SIC suffers from performance loss when the channel is spatially correlated for Massive MIMO, we propose an effective hybrid iterative detection algorithm named partial Gaussian approach ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.