• DocumentCode
    2372595
  • Title

    Signaling strategy optimization for Gaussian MIMO wiretap channel

  • Author

    Qingjiang Shi ; Enbin Song ; Guoan Chen

  • Author_Institution
    Sch. of Inf. Sci. & Tech., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    3611
  • Lastpage
    3615
  • Abstract
    MIMO wiretap channel consists of a multiple antenna transmitter, a legitimate multiple antenna receiver and a multiple antenna eavesdropper. Signaling strategy optimization for MIMO wiretap channel, including secrecy capacity maximization problem and power minimization problem with a secrecy rate constraint, are studied. We identify when the two problems are globally solvable. Further, iterative algorithms based on concave-convex procedure are proposed for the two problems, which can monotonically converge to a Karush-Kuhn-Tucker (KKT) point of the two problems. Numerical examples validate the effectiveness of the proposed algorithms.
  • Keywords
    Gaussian channels; MIMO communication; antenna arrays; concave programming; convex programming; iterative methods; telecommunication security; telecommunication signalling; wireless channels; Gaussian MIMO wiretap channel; KKT point; Karush-Kuhn-Tucker point; concave-convex procedure; iterative algorithm; multiple-antenna eavesdropper; multiple-antenna receiver; multiple-antenna transmitter; power minimization problem; secrecy capacity maximization problem; secrecy rate constraint; signaling strategy optimization; Eigenvalues and eigenfunctions; MIMO; Minimization; Optimization; Receiving antennas; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364133
  • Filename
    6364133