Optimal channel switching in the presence of stochastic signaling
Author
Dulek, B.
Varshney P.K.
Tutay, Mehmet Emin
Gezici, Sinan
Date
2013Source Title
2013 IEEE International Symposium on Information Theory
Publisher
IEEE
Pages
2189 - 2193
Language
English
Type
Conference PaperItem 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 errorChannel 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