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dc.contributor.authorSaritas, Serkan
dc.contributor.authorDulek, Berkan
dc.contributor.authorSezer, Ahmet Dundar
dc.contributor.authorGezici, Sinan
dc.contributor.authorYuksel, Serdar
dc.date.accessioned2019-12-13T07:41:20Z
dc.date.available2019-12-13T07:41:20Z
dc.date.issued2017
dc.identifier.issn1053-587X
dc.identifier.urihttps://doi.org/10.1109/TSP.2016.2634552
dc.identifier.urihttp://hdl.handle.net/11655/18812
dc.description.abstractIn this paper, the problem of optimal power allocation over flat fading additive white Gaussian noise channels is considered for maximizing the average detection probability of a signal emitted from a power constrained transmitter in the Neyman-Pearson framework. It is assumed that the transmitter can perform power adaptation under peak and average power constraints based on the channel state information fed back by the receiver. Using results from measure theory and convex analysis, it is shown that this optimization problem, which is in general nonconvex, has an equivalent Lagrangian dual that admits no duality gap and can be solved using dual decomposition. Efficient numerical algorithms are proposed to determine the optimal power allocation scheme under peak and average power constraints. Furthermore, the continuity and monotonicity properties of the corresponding optimal power allocation scheme are characterized with respect to the signal-to-noise ratio for any given value of the false alarm probability. Simulation examples are presented to corroborate the theoretical results and illustrate the performance improvements due to the proposed optimal power allocation strategy.
dc.language.isoen
dc.publisherIeee-Inst Electrical Electronics Engineers Inc
dc.relation.isversionof10.1109/TSP.2016.2634552
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectEngineering
dc.titleOptimal Power Allocation For Average Detection Probability Criterion Over Flat Fading Channels
dc.typeinfo:eu-repo/semantics/article
dc.relation.journalIeee Transactions On Signal Processing
dc.contributor.departmentElektrik Elektronik Mühendisliği
dc.identifier.volume65
dc.identifier.issue6
dc.identifier.startpage1383
dc.identifier.endpage1398
dc.description.indexWoS


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