• DocumentCode
    345812
  • Title

    Co-channel interference suppression assisted adaptive OFDM in interference limited environments

  • Author

    Münster, M. ; Keller, T. ; Hanzo, L.

  • Author_Institution
    Dept. of Electron. & Comput. Sci., Southampton Univ., UK
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    284
  • Abstract
    This paper investigates the feasibility of adaptive OFDM (AOFDM) transmissions in co-channel interference limited environments upon invoking the sample matrix inversion (SMI) algorithm. The subcarrier based signal-to-noise ratio (SNR), which can be derived from the SMI algorithm´s weights is shown to be in most cases an effective measure for controlling the modulation mode adaptation. A simple pilot based scheme is introduced, which allows channel parameter estimation on an OFDM symbol-by-symbol basis. The system BER performance is shown to be improved by an order of a magnitude due to combining AOFDM with interference suppression
  • Keywords
    OFDM modulation; adaptive modulation; cellular radio; cochannel interference; error statistics; interference suppression; matrix inversion; parameter estimation; signal sampling; transceivers; AOFDM; BER performance; SMI algorithm weights; adaptive OFDM; adaptive modulation; adaptive transceiver; channel parameter estimation; co-channel interference suppression; interference limited environments; modulation mode adaptation; multicellular mobile environments; sample matrix inversion algorithm; signal-to-noise ratio; subcarrier based SNR; Adaptive arrays; Antenna arrays; Fading; Interchannel interference; Interference suppression; OFDM; Parameter estimation; Receiving antennas; Transceivers; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 1999. VTC 1999 - Fall. IEEE VTS 50th
  • Conference_Location
    Amsterdam
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-5435-4
  • Type

    conf

  • DOI
    10.1109/VETECF.1999.797141
  • Filename
    797141