• DocumentCode
    3663395
  • Title

    On the dirty paper channel with fast fading dirt

  • Author

    Stefano Rini;Shlomo Shamai

  • Author_Institution
    National Chiao-Tung University, Hsinchu, Taiwan
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    2286
  • Lastpage
    2290
  • Abstract
    Costa´s “writing on dirty paper” result establishes that full state pre-cancellation can be attained in the Gel´fand-Pinsker problem with additive state and additive white Gaussian noise. This result holds under the assumptions that full channel knowledge is available at both the transmitter and the receiver. In this work we consider the scenario in which the state is multiplied by an ergodic fading process which is not known at the encoder. We study both the case in which the receiver has knowledge of the fading and the case in which it does not: for both models we derive inner and outer bounds to capacity and determine the distance between the two bounds when possible. For the channel without fading knowledge at either the transmitter or the receiver, the gap between inner and outer bounds is finite for a class of fading distributions which includes a number of canonical fading models. In the capacity approaching strategy for this class, the transmitter performs Costa´s pre-coding against the mean value of the fading times the state while the receiver treats the remaining signal as noise. For the case in which only the receiver has knowledge of the fading, we determine a finite gap between inner and outer bounds for two classes of discrete fading distribution. The first class of distributions is the one in which there exists a probability mass larger than one half while the second class is the one in which the fading is uniformly distributed over values that are exponentially spaced apart. Unfortunately, the capacity in the case of a continuous fading distribution remains very hard to characterize.
  • Keywords
    "Receivers","Transmitters","Writing","Noise","Channel capacity","Rayleigh channels"
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2015 IEEE International Symposium on
  • Electronic_ISBN
    2157-8117
  • Type

    conf

  • DOI
    10.1109/ISIT.2015.7282863
  • Filename
    7282863