• DocumentCode
    2987335
  • Title

    Coded modulation with mismatched power control over block-fading channels

  • Author

    Kim, Tùng T. ; Guillén i Fàbregas, Albert

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    2169
  • Lastpage
    2173
  • Abstract
    Communication over delay-constrained block-fading channels with discrete inputs and imperfect channel state information at the transmitter (CSIT) is studied. The CSIT mismatch is modeled as a Gaussian random variable, whose variance decays as a power of the signal-to-noise ratio (SNR). We focus on the large-SNR behavior of the outage probability when transmit power control is used. We derive the outage exponent as a function of the system parameters, including the CSIT noise variance exponent and the exponent of the peak power constraint. It is shown that CSIT, even if noisy, is always beneficial and leads to significant gains in terms of exponents. It is also shown that when precoders are used at the transmitter, further exponent gains can be attained at the expense of higher decoding complexity.
  • Keywords
    Gaussian processes; channel coding; communication complexity; decoding; fading channels; modulation; power control; precoding; probability; radio transmitters; random processes; Gaussian random variable; channel state information; coded modulation; decoding complexity; delay-constrained block-fading channels; mismatched power control; outage probability; peak power constraint; precoders; signal-to-noise ratio; transmit power control; transmitter; variance decays; Channel state information; Delay; Fading; Modulation coding; Power control; Power system modeling; Random variables; Receiving antennas; Signal to noise ratio; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205802
  • Filename
    5205802