Coding and Modulation for the Fading Channel

  • Ezio Biglieri
  • Giuseppe Caire
  • Giorgio Taricco


On fading channels the coding/modulation (C/M) paradigms developed for the Gaussian channel may not be valid anymore. For example, coded modulation schemes optimized for the independent Rayleigh channel do not attempt at maximizing the minimum Euclidean distance among error events, but rather their Hamming distance.

The channel model turns out to have out to have a considerable impact on the choice of the preferred solution for C/M. Moreover, if the channel mmodel is uncertain, or not stable enough in time to design a C/M scheme closely matched to it, then the best proposition may be that of a “robust” Solution, that is one that provides good performance in a wide variety fo fading environments.

In this xontribution we review a few important issues in C/M for the fading channel. By focusing our attention on the flat, independent Rayleigh fading channel, we discuss how some design criteria valid for the Gaussiann channel should be modified.


Fading Channel Channel State Information Rayleigh Fading Channel Turbo Code Convolutional Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 1997

Authors and Affiliations

  • Ezio Biglieri
  • Giuseppe Caire
  • Giorgio Taricco

There are no affiliations available

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