• DocumentCode
    917845
  • Title

    Signal Transmission with Known-Interference Cancellation [Lecture Notes]

  • Author

    Moulin, Pierre

  • Author_Institution
    Illinois Univ., Urbana, IL
  • Volume
    24
  • Issue
    1
  • fYear
    2007
  • Firstpage
    134
  • Lastpage
    136
  • Abstract
    This paper outlines some of the main ideas for designing signaling schemes in the presence of a known interference. The paper shows that the straightforward application of conventional methods is ineffective and that while the linear cancellation of the interference using subspace methods is an appealing idea, has clear limitations as well. Quantization-based cancellation of the interference was found to perform very well, and makes it possible to approach fundamental information theoretic limits
  • Keywords
    encoding; interference suppression; quantisation (signal); signal detection; signal processing; statistical analysis; channel noise; dirty paper coding; information-theoretic view-point; linear interference cancellation; projection methods; quantization methods; signal processing; signal transmission; statistical detection theory; Channel capacity; Downlink; Interference cancellation; Noise cancellation; Quantization; Signal processing; Surges; Transmitters; Watermarking; Wireless communication;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2007.273083
  • Filename
    4049923