• DocumentCode
    2377704
  • Title

    An efficient linear MMSE receiver for wireless ad hoc networks

  • Author

    Park, Sunho ; Lee, Byungju ; Wang, Jian ; Shim, Byonghyo

  • Author_Institution
    Sch. of Inf. & Commun., Korea Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    472
  • Lastpage
    476
  • Abstract
    Recent works on ad hoc network study have shown that achievable throughput can be made to scale linearly with the number of receive antennas even if the transmitter has only a single antenna. In this paper, we propose a non-parametric linear minimum mean square error (MMSE) receiver for achieving further gain in performance when the channel state information at receiver (CSIR) of interferers is imperfect. The key feature to make our approach effective is to exploit the autocorrelation of the received signal. In fact, by incorporating the desired channel information on top of the observations including interference and noise only, the proposed method achieves large fraction of the optimal MMSE transmission capacity without transmission rate loss. Simulation results on the realistic ad hoc network system show that the proposed non-parametric linear MMSE receiver brings substantial performance gain over existing multiple receive antenna algorithms.
  • Keywords
    ad hoc networks; least mean squares methods; radio networks; radio receivers; receiving antennas; CSIR; channel state information at receiver; efficient linear MMSE receiver; interferers; multiple receive antenna algorithms; nonparametric linear minimum mean square error receiver; optimal MMSE transmission capacity; receive antennas; received signal autocorrelation; wireless ad hoc networks; Ad hoc networks; Covariance matrix; Interference; Receiving antennas; Signal to noise ratio; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364376
  • Filename
    6364376