Optimal power allocation and optimal linear encoding for parameter estimation in the presence of a smart eavesdropper

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buir.contributor.authorAbadi, Erfan Mehdipour
buir.contributor.authorGezici, Sinan
buir.contributor.orcidAbadi, Erfan Mehdipour|0000-0002-5193-6007
buir.contributor.orcidGezici, Sinan|0000-0002-6369-3081
buir.contributor.orcidÖztürk, Cüneyd|0000-0003-3792-9844
buir.contributor.orcidGöken, Çağrı|0000-0002-9971-1085
dc.citation.epage4108en_US
dc.citation.spage4093en_US
dc.citation.volumeNumber70en_US
dc.contributor.authorAbadi, Erfan Mehdipour
dc.contributor.authorGöken, Çağrı
dc.contributor.authorÖztürk, Cüneyd
dc.contributor.authorGezici, Sinan
dc.date.accessioned2023-02-16T11:44:30Z
dc.date.available2023-02-16T11:44:30Z
dc.date.issued2022-08-11
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this article, we consider secure transmission of a deterministic vector parameter from a transmitter to an intended receiver in the presence of a smart eavesdropper. The aim is to determine the optimal power allocation and optimal linear encoding strategies at the transmitter to maximize the estimation performance at the intended receiver under constraints on the estimation performance at the eavesdropper and on the transmit power. First, the A-optimality criterion is adopted by utilizing the Cramér-Rao lower bound as the estimation performance metric, and the optimal power allocation and optimal linear encoding strategies are characterized theoretically. Then, corresponding to the D-optimality criterion, the determinant of the Fisher information matrix is considered as the estimation performance metric. It is shown that the optimal linear encoding and optimal power allocation strategies lead to the same solution for this criterion. In addition, extensions of the theoretical results are provided to cases with statistical knowledge of systems parameters. Numerical examples are provided to investigate the optimal power allocation and optimal linear encoding strategies in different scenarios.en_US
dc.description.provenanceSubmitted by Betül Özen (ozen@bilkent.edu.tr) on 2023-02-16T11:44:29Z No. of bitstreams: 1 Optimal_Power_Allocation_and_Optimal_Linear_Encoding_for_Parameter_Estimation_in_the_Presence_of_a_Smart_Eavesdropper.pdf: 849393 bytes, checksum: 134f870b53acb7c87c8adc05e200d310 (MD5)en
dc.description.provenanceMade available in DSpace on 2023-02-16T11:44:30Z (GMT). No. of bitstreams: 1 Optimal_Power_Allocation_and_Optimal_Linear_Encoding_for_Parameter_Estimation_in_the_Presence_of_a_Smart_Eavesdropper.pdf: 849393 bytes, checksum: 134f870b53acb7c87c8adc05e200d310 (MD5) Previous issue date: 2022-08-11en
dc.identifier.doi10.1109/TSP.2022.3198180en_US
dc.identifier.eissn1941-0476
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11693/111452
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://www.doi.org/10.1109/TSP.2022.3198180en_US
dc.source.titleIEEE Transactions on Signal Processingen_US
dc.subjectCramér-Rao lower bound (CRLB)en_US
dc.subjectEstimationen_US
dc.subjectFisher informationen_US
dc.subjectParameter encodingen_US
dc.subjectPower allocationen_US
dc.subjectSecrecyen_US
dc.titleOptimal power allocation and optimal linear encoding for parameter estimation in the presence of a smart eavesdropperen_US
dc.typeArticleen_US

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