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      • Department of Electrical and Electronics Engineering
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      Optimal channel switching in the presence of stochastic signaling

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      Author
      Dulek, B.
      Varshney P.K.
      Tutay, Mehmet Emin
      Gezici, Sinan
      Date
      2013
      Source Title
      2013 IEEE International Symposium on Information Theory
      Publisher
      IEEE
      Pages
      2189 - 2193
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      Optimal channel switching and detector design is studied for M-ary communication systems in the presence of stochastic signaling, which facilitates randomization of signal values transmitted for each information symbol. Considering the presence of multiple additive noise channels (which can have non-Gaussian distributions in general) between a transmitter and a receiver, the joint optimization of the channel switching (timesharing) strategy, stochastic signals, and detectors is performed in order to achieve the minimum average probability of error. It is proved that the optimal solution to this problem corresponds to either (i) switching between at most two channels with deterministic signaling over each channel, or (ii) time-sharing between at most two different signals over a single channel (i.e., stochastic signaling over a single channel). For both cases, the optimal solutions are shown to employ corresponding maximum a posteriori probability (MAP) detectors at the receiver. Numerical results are presented to investigate the proposed approach. © 2013 IEEE.
      Keywords
      Average probability of error
      Channel switching
      Information symbol
      Joint optimization
      Maximum a posteriori probability detectors
      Non-gaussian distribution
      Stochastic signaling
      Stochastic signals
      Detectors
      Information theory
      Optimal systems
      Optimization
      Probability distributions
      Stochastic systems
      Switching
      Signaling
      Permalink
      http://hdl.handle.net/11693/27889
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ISIT.2013.6620614
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      • Department of Electrical and Electronics Engineering 3637
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