• DocumentCode
    2116419
  • Title

    Large MIMO system channel capacity using replica analysis and Grassmann variables: a closed form solution

  • Author

    Khan, Ejaz ; Heneghan, Conor

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Dublin Univ., Ireland
  • Volume
    3
  • fYear
    2004
  • fDate
    5-8 Sept. 2004
  • Firstpage
    2018
  • Abstract
    Multiinput multioutput (MIMO) system are today regarded as one of the most promising research areas in wireless communications. This is due to the fact that MIMO channel can offer a significant capacity gain over traditional single-input single-output (SISO) channel. When transmitting over MIMO channels, there are additional degrees of freedom with respect to SISO channels. This paper presents the capacity of an uncorrelated MIMO channel in high SNR regime. The expression for the large system MIMO capacity is calculated in closed form using replica analysis and Grassmann variables. It is assumed that the receiver has perfect knowledge of the channel but no such information is available at the transmitter.
  • Keywords
    MIMO systems; antenna arrays; channel capacity; radio receivers; statistical analysis; Grassmann variables; MIMO system; channel capacity; closed form solution; multiinput multioutput; multiple antenna; replica analysis; wireless communication; AWGN; Additive white noise; Channel capacity; Gallium nitride; MIMO; Receiving antennas; Reflector antennas; Signal to noise ratio; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on
  • Print_ISBN
    0-7803-8523-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2004.1368352
  • Filename
    1368352