• DocumentCode
    2107094
  • Title

    Serial-Parallel Combined MCI Cancellation in OFCDM Systems

  • Author

    Wang, Yuan ; Zhong, Hongsheng

  • Author_Institution
    Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Orthogonal frequency and code division multiplexing (OFCDM) systems have received extensive research recently. This paper proposes a serial-parallel combined MCI (SPMCI) cancellation algorithm for frequency domain de-spreading, derivates an improved minimum mean square error (MMSE) weighting factor and analyzes the performance of the proposed algorithm. Time and code division multiplexing (TCDM) pilot channel is used for channel estimation, which integrates the advantages of time division and code division structure. Simulation results show that the proposed algorithm is superior to the traditional parallel MCI cancellation (PMCI) in slow flat fading channels, especially at O-stage MCI cancellation. Moreover, the BER performance of the proposed algorithm improves as code index increases.
  • Keywords
    OFDM modulation; channel estimation; code division multiplexing; interference suppression; least mean squares methods; time division multiplexing; BER; OFCDM systems; channel estimation; frequency domain despreading; minimum mean square error weighting factor; multicode interference; orthogonal frequency and code division multiplexing systems; serial-parallel combined MCI cancellation; slow flat fading channels; time and code division multiplexing pilot channel; Bit error rate; Code division multiplexing; Delay; Educational institutions; Fading; Frequency domain analysis; Interference cancellation; Mean square error methods; OFDM; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302303
  • Filename
    5302303