Optimal power allocation for average detection probability criterion over flat fading channels

buir.contributor.authorGezici, Sinan
dc.citation.epage1398en_US
dc.citation.issueNumber6en_US
dc.citation.spage1383en_US
dc.citation.volumeNumber65en_US
dc.contributor.authorSarıtaş, S.en_US
dc.contributor.authorDulek, B.en_US
dc.contributor.authorSezer, A. D.en_US
dc.contributor.authorGezici, Sinanen_US
dc.contributor.authorYüksel S.en_US
dc.date.accessioned2018-04-12T11:02:43Z
dc.date.available2018-04-12T11:02:43Z
dc.date.issued2017en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
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.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:02:43Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2017en
dc.identifier.doi10.1109/TSP.2016.2634552en_US
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11693/37095
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TSP.2016.2634552en_US
dc.source.titleIEEE Transactions on Signal Processingen_US
dc.subjectDetection probabilityen_US
dc.subjectFadingen_US
dc.subjectNeyman-Pearsonen_US
dc.subjectPower allocationen_US
dc.subjectPower constrainten_US
dc.titleOptimal power allocation for average detection probability criterion over flat fading channelsen_US
dc.typeArticleen_US

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