• DocumentCode
    2073667
  • Title

    An interference cancellation scheme-based carrier frequency offset estimation for OFDM uplink transmissions

  • Author

    Hung, Ho-Lung ; Chao, Chien-Chi ; Lin, You-Hao ; Huang, Shih-Ping ; Wu, Chin-Hung ; Lee, Gwo-Ruey

  • Author_Institution
    Dept. of Electr. Eng., ChienKuo Technol. Univ., Changhua, Taiwan
  • fYear
    2010
  • fDate
    16-18 Aug. 2010
  • Firstpage
    756
  • Lastpage
    760
  • Abstract
    This paper addresses the problem of resource management in the presence of inter-carrier interference (ICI) and multipath fading channel for orthogonal frequency division multiplexing (OFDM) systems. OFDM is a promising technique for the broadband wireless communication systems. However, the OFDM communication system is sensitivity to the ICI which arises because of Doppler spread and carrier frequency offset (CFO). To solve these problems, an optimization method is exploited, and a computationally efficient method using stochastic optimization techniques is proposed. The simulation results show that these derived optimal solutions and proposed suboptimal algorithms as compared with the uniform power allocation algorithm or conventional water-filling algorithm can significantly improve the performance of the OFDM systems.
  • Keywords
    OFDM modulation; fading channels; frequency estimation; interference suppression; multipath channels; stochastic processes; Doppler spread; OFDM uplink transmissions; carrier frequency offset estimation; intercarrier interference; interference cancellation scheme; multipath fading channel; orthogonal frequency division multiplexing systems; resource management; stochastic optimization techniques; Artificial neural networks; Computational modeling; OFDM; Broadband wireless communication; Inter-carrier interference; OFDM systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing and Advanced Information Management (NCM), 2010 Sixth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-7671-8
  • Electronic_ISBN
    978-89-88678-26-8
  • Type

    conf

  • Filename
    5572144