• DocumentCode
    762282
  • Title

    Performance analysis of maximum ratio transmission with imperfect channel estimation

  • Author

    Chen, Yunxia ; Tellambura, Chintha

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
  • Volume
    9
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    322
  • Lastpage
    324
  • Abstract
    Maximal ratio transmission (MRT) is designed assuming the availability of perfect channel state information (CSI) at both the transmitter and the receiver. However, perfect CSI is not available in practice. This paper investigates the impact of Gaussian estimation errors on the MRT performance in independently and identically distributed (i.i.d.) Rayleigh fading channels. We derive the cumulative distribution function (cdf), the probability density function (pdf) and the moment generating function (mgf) of the MRT output signal-to-noise ratio (SNR) with imperfect CSI, enabling the evaluation of some useful performance metrics such as the average error rate and the outage performance. Numerical and simulation results are provided to show the impact of imperfect CSI on the MRT performance.
  • Keywords
    Gaussian channels; MIMO systems; Rayleigh channels; channel estimation; probability; CSI; Gaussian estimation errors; MIMO systems; MRT; Rayleigh fading channels; SNR; cdf; cumulative distribution function; imperfect channel estimation; maximal ratio transmission; maximum ratio transmission; mgf; moment generating function; pdf; perfect channel state information; probability density function; signal-to-noise ratio; Availability; Channel estimation; Channel state information; Distribution functions; Estimation error; Fading; Performance analysis; Probability density function; Signal generators; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2005.1413621
  • Filename
    1413621