• DocumentCode
    1241284
  • Title

    The asymptotic capacity of multiple-antenna Rayleigh-fading channels

  • Author

    Kamath, M. Ajith ; Hughes, Brian L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    51
  • Issue
    12
  • fYear
    2005
  • Firstpage
    4325
  • Lastpage
    4333
  • Abstract
    We consider the asymptotic behavior of the capacity of multiple-antenna Rayleigh-fading channels in the limit as the transmit and receive arrays become large. We show that the capacity converges in distribution to a Gaussian random variable, and give closed-form formulas for its mean and variance. These results enable us to derive the first asymptotic formula for outage rates, as well as a sharper estimate of the error in previously reported asymptotic formulas for ergodic capacity. Although these formulas are asymptotic, we show by simulation that they are often quite accurate, even for relatively small arrays.
  • Keywords
    Gaussian distribution; Rayleigh channels; antenna arrays; channel capacity; channel coding; matrix algebra; random processes; receiving antennas; space-time codes; transmitting antennas; Gaussian random variable; Rayleigh-fading channel; asymptotic capacity; asymptotic formula; capacity convergence; closed-form formula; ergodic capacity; multiple-antenna array; random matrix theory; receive array; space-time coding; transmit array; Capacity planning; Fading; Gallium nitride; Multipath channels; Mutual information; Random variables; Rayleigh channels; Receiving antennas; Transmitters; Transmitting antennas; Capacity; fading channels; multiple-antenna communication; random matrix theory; space–time coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2005.858966
  • Filename
    1542423