• DocumentCode
    265954
  • Title

    Predicting the performance of an iterative MIMO MMSE receiver with vertical encoding

  • Author

    Huusko, Jarkko ; Pyhtila, Juha ; Juntti, Markku

  • Author_Institution
    Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    1510
  • Lastpage
    1515
  • Abstract
    This paper proposes a semi-analytical performance prediction method for an iterative receiver that processes signals arriving through a frequency selective multiple-input multiple-output radio channel. Earlier results provide a distribution of the signal-to-interference-and-noise ratio at the output of a frequency-domain soft-cancellation minimum mean square error equalizer, which is subsequently used to approximate the distribution of the log-likelihood ratios (LLRs) of the demapped bits. Extrinsic information transfer (EXIT) charts establish a bijective relationship between the variance of the LLRs and mutual information. We use an approximate distribution of the equalizer/demapper output´s LLR variance to estimate the probability of an intersection between the decoder and equalizer graphs. The probability provides a good estimate of the frame error rate.
  • Keywords
    MIMO communication; channel estimation; equalisers; graph theory; iterative decoding; least mean squares methods; radio receivers; wireless channels; EXIT charts; MIMO MMSE receiver; bijective relationship; decoder graphs; equalizer graphs; extrinsic information transfer; frame error rate; frequency selective MIMO channel; iterative receiver; log-likelihood ratios; minimum mean square error equalizer; multiple-input multiple-output radio channel; semianalytical performance prediction method; signal processing; signal-to-interference-and-noise ratio; soft-cancellation MMSE; vertical encoding; Decoding; Equalizers; Interference; MIMO; Mutual information; Receivers; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037022
  • Filename
    7037022