• DocumentCode
    3068329
  • Title

    A simple SINR characterization for linear interference alignment over uncertain MIMO channels

  • Author

    Nosrat-Makouei, Behrang ; Andrews, Jeffrey G. ; Heath, Robert W., Jr.

  • Author_Institution
    Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    2288
  • Lastpage
    2292
  • Abstract
    This paper provides a simple closed-form SINR expression for interference alignment over MIMO channels with channel uncertainty. Assuming linear processing (specifically, zero-forcing) at the transmitters and receivers and a complex Gaussian interference channel, we show that random matrix theory can be successfully applied to find the SINR distribution of each stream for each user with channel uncertainty. Perfect channel knowledge constitutes a special case. This SINR distribution allows easy calculation of useful performance metrics like symbol error-rate and achievable sum rate.
  • Keywords
    Gaussian channels; MIMO communication; adjacent channel interference; matrix algebra; Gaussian interference channel; MIMO channels; SINR characterization; channel uncertainty; linear interference alignment; random matrix theory; Cognitive radio; Decoding; Filters; Interference channels; MIMO; Measurement; Radio transmitters; Relays; Signal to noise ratio; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513649
  • Filename
    5513649