Stochastic signaling under second and fourth moment constraints
IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
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Stochastic signaling is investigated under second and fourth moment constraints for the detection of scalar-valued binary signals in additive noise channels. Sufficient conditions are derived to determine when the use of stochastic signals instead of deterministic ones can or cannot enhance the error performance of a given binary communications system. Also, a convex relaxation approach is employed to obtain approximate solutions of the optimal stochastic signaling problem. Finally, numerical examples are presented, and extensions of the results to M-ary communications systems and to other criteria than the average probability of error are discussed.
KeywordsAdditive noise channels
Probability of error
Average probability of error
Probability of error
Wireless telecommunication systems
Published Version (Please cite this version)http://dx.doi.org/10.1109/SPAWC.2010.5671070
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