• DocumentCode
    120072
  • Title

    Fast channel estimation techniques for LTE downlink systems based on fast linear Toeplitz system solver

  • Author

    Khlifi, Abdelhakim ; Bouallegue, R.

  • Author_Institution
    Innov´COM Lab., Univ. of Carthage, Tunis, Tunisia
  • fYear
    2014
  • fDate
    16-19 Feb. 2014
  • Firstpage
    563
  • Lastpage
    567
  • Abstract
    LTE is defined as the 4G generation network providing high data rates. Channel estimation is important in the wireless system conception. Classical LMMSE channel estimation techniques require O(N3) floating operations and O(N2) memory locations (N is the size of the channel autocorrelation). In this paper, we propose fast channel estimation techniques for LTE based on fast solver for linear Toeplitz system with reconstructible Cauchy-like structure. Proposed fast algorithms require only O(N2) floating operations and O(N) memory locations. Performances of proposed fast algorithms are verified via Monte-Carlo MATLAB simulations.
  • Keywords
    4G mobile communication; Long Term Evolution; Monte Carlo methods; channel estimation; computational complexity; least mean squares methods; 4G generation network; LMMSE techniques; LTE downlink systems; Monte-Carlo MATLAB simulations; channel autocorrelation; fast channel estimation techniques; fast linear Toeplitz system solver; floating operations; memory locations; reconstructible Cauchy-like structure; wireless system conception; Channel estimation; Correlation; Downlink; Educational institutions; Fading; OFDM; Signal to noise ratio; GSA; LMMSE; LTE; channel matrix autocorrelation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2014 16th International Conference on
  • Conference_Location
    Pyeongchang
  • Print_ISBN
    978-89-968650-2-5
  • Type

    conf

  • DOI
    10.1109/ICACT.2014.6779023
  • Filename
    6779023