• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

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

      Thumbnail
      View / Download
      829.5 Kb
      Author(s)
      Abadi, Erfan Mehdipour
      Göken, Çağrı
      Öztürk, Cüneyd
      Gezici, Sinan
      Date
      2022-08-11
      Source Title
      IEEE Transactions on Signal Processing
      Print ISSN
      1053-587X
      Electronic ISSN
      1941-0476
      Publisher
      IEEE
      Volume
      70
      Pages
      4093 - 4108
      Language
      English
      Type
      Article
      Item Usage Stats
      5
      views
      3
      downloads
      Abstract
      In 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.
      Keywords
      Cramér-Rao lower bound (CRLB)
      Estimation
      Fisher information
      Parameter encoding
      Power allocation
      Secrecy
      Permalink
      http://hdl.handle.net/11693/111452
      Published Version (Please cite this version)
      https://www.doi.org/10.1109/TSP.2022.3198180
      Collections
      • Department of Electrical and Electronics Engineering 4011
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 2976
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy