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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Goken, C. Gezici, S. Arikan, O. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical and Electronics Engineering, Bilkent University, Ankara 06800, Turkey (Goken, C.; Gezici, S.; Arikan, O.) |
| Abstract | In this paper, stochastic signaling is studied for scalar valued binary communications systems over additive noise channels in the presence of an average power constraint. For a given decision rule at the receiver, the effects of using stochastic signals for each symbol instead of conventional deterministic signals are investigated. First, sufficient conditions are derived to determine the cases in which stochastic signaling can or cannot outperform the conventional signaling. Then, statistical characterization of the optimal signals is provided and it is obtained that an optimal stochastic signal can be represented by a randomization of at most two different signal levels for each symbol. In addition, via global optimization techniques, the solution of the generic optimal stochastic signaling problem is obtained, and theoretical results are investigated via numerical examples. |
| Starting Page | 1158 |
| Ending Page | 1164 |
| File Size | 334691 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424482153 |
| e-ISBN | 9781424482160 |
| DOI | 10.1109/ALLERTON.2010.5707042 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | additive noise channels Noise Stochastic processes Probability of error stochastic signaling Receivers Detectors Probability distribution Random variables Optimization global optimization |
| Content Type | Text |
| Resource Type | Article |
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