• DocumentCode
    1889228
  • Title

    A low-complexity ICI mitigation method based on generalized data-allocation for OFDM systems

  • Author

    Chen, Chun-Chyuan ; Wu, Jiun-Ming ; Wu, Yong-Jhen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien
  • fYear
    2008
  • fDate
    10-12 Nov. 2008
  • Firstpage
    194
  • Lastpage
    197
  • Abstract
    This paper describes an ICI self-cancellation method based on the generalized ed data-allocation of (1,-beta) for OFDM systems. To improve the ICI mitigation for the higher frequency offset, we propose a mid-point search algorithm to generate the sub-optimal parameter beta for maximizing the carrier-to-interference ratio (CIR). The CIR performances with different ICI self-cancellation schemes were also investigated by computer simulations. According to the simulation results, the CIR performance of the proposed ICI self-cancellation scheme is better than that of the conventional ICI self-cancellation scheme and is nearly the same as that of the ICI self-cancellation scheme for the optimal parameter beta. Additionally, the proposed ICI self-cancellation scheme has a dramatically reduced hardware complexity in comparison with the ICI self-cancellation scheme for the optimal parameter beta.
  • Keywords
    OFDM modulation; intercarrier interference; OFDM systems; carrier-to-interference ratio; data-allocation; intercarrier interference mitigation; intercarrier interference self-cancellation; search algorithm; Computer simulation; Digital video broadcasting; Equalizers; Frequency domain analysis; Hardware; Local oscillators; OFDM; Streaming media; Time domain analysis; Transmitters; CIR; ICI; OFDM; frequency offset;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2250-0
  • Electronic_ISBN
    978-1-4244-2251-7
  • Type

    conf

  • DOI
    10.1109/ICCT.2008.4716193
  • Filename
    4716193