• DocumentCode
    664911
  • Title

    Time-selective channel estimation in two-way multi-relay MIMO-OFDM transmissions

  • Author

    Thuy Tran-Thi-Thu ; Dung Tran-Van ; Hung Nguyen-Le

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Univ. of Danang, Da Nang, Vietnam
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    28
  • Lastpage
    32
  • Abstract
    This paper is concerned with doubly selective channel estimation for two-way multi-relay orthogonal frequency division multiplexing (OFDM) transmissions with multiple-input multiple-output (MIMO) configurations. Over time-varying cascaded fading channels among moving nodes, basis expansion models (BEMs) are deployed as fitting parametric models to reduce the number of channel parameters to be estimated. Using maximum likelihood (ML) estimation principle, BEM coefficients are first estimated then time-varying cascaded channel responses are determined by replacing the estimated BEM coefficient values into the used BEM expression. Simulation results are provided to verify the performance of the proposed estimation algorithm under different system scenarios.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; BEM coefficients; MIMO-OFDM transmissions; basis expansion models; doubly selective channel estimation; fitting parametric models; maximum likelihood estimation principle; time-selective channel estimation; time-varying cascaded channel responses; time-varying cascaded fading channels; two-way multi-relay; Channel estimation; Estimation; Fading; OFDM; Relays; Time-varying channels; Wireless communication; Channel estimation; basis expansion model; doubly selective; two-way relay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Technologies for Communications (ATC), 2013 International Conference on
  • Conference_Location
    Ho Chi Minh City
  • ISSN
    2162-1020
  • Print_ISBN
    978-1-4799-1086-1
  • Type

    conf

  • DOI
    10.1109/ATC.2013.6698071
  • Filename
    6698071