Browsing by Keywords "Stochastic signaling"
Now showing items 1-12 of 12
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Convexity properties of detection probability under additive Gaussian noise: optimal signaling and jamming strategies
(IEEE, 2013)In this correspondence, we study the convexity properties for the problem of detecting the presence of a signal emitted from a power constrained transmitter in the presence of additive Gaussian noise under the Neyman-Pearson ... -
Detector randomization and stochastic signaling for minimum probability of error receivers
(Institute of Electrical and Electronics Engineers, 2012)Optimal receiver design is studied for a communications system in which both detector randomization and stochastic signaling can be performed. First, it is proven that stochastic signaling without detector randomization ... -
On the optimality of stochastic signaling under an average power constraint
(IEEE, 2010-09-10)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 ... -
Optimal channel switching in the presence of stochastic signaling
(IEEE, 2013)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. ... -
Optimal signaling and detector design for M-ary communication systems in the presence of multiple additive noise channels
(Academic Press, 2014-03)An M-ary communication system is considered in which the transmitter and the receiver are connected via multiple additive (possibly non-Gaussian) noise channels, any one of which can be utilized for the transmission of a ... -
Optimal signaling and detector design for power constrained on-off keying systems in Neyman-Pearson framework
(IEEE, 2011)Optimal stochastic signaling and detector design are studied for power constrained on-off keying systems in the presence of additive multimodal channel noise under the Neyman-Pearson (NP) framework. The problem of jointly ... -
Optimal stochastic signal design and detector randomization in the Neyman-Pearson framework
(IEEE, 2012-03)Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector ... -
Optimal stochastic signaling under average power and bit rate constraints
(Institute of Electrical and Electronics Engineers, 2018)The optimal stochastic signaling based on the joint design of prior distribution and signal constellation is investigated under an average bit rate and power constraints. First, an optimization problem is formulated to ... -
Stochastic signal design on the downlink of a multiuser communications system
(IEEE, 2012-06)Stochastic signal design is studied for the downlink of a multiuser communications system. First, a formulation is proposed for the joint design of optimal stochastic signals. Then, an approximate formulation, which can ... -
Stochastic signaling for power constrained communication systems
(Bilkent University, 2011)In this thesis, optimal stochastic signaling problem is studied for power constrained communications systems. In the first part, optimal stochastic signaling problem is investigated for binary communications systems under ... -
Stochastic signaling in the presence of channel state information uncertainty
(Elsevier, 2013)In this paper, stochastic signaling is studied for power-constrained scalar valued binary communications systems in the presence of uncertainties in channel state information (CSI). First, stochastic signaling based on the ... -
Stochastic signaling under second and fourth moment constraints
(IEEE, 2010)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 ...