• DocumentCode
    1779544
  • Title

    Rank-deficient solutions for optimal signaling over secure MIMO channels

  • Author

    Loyka, Sergey ; Charalambous, Charalambos D.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2014
  • fDate
    June 29 2014-July 4 2014
  • Firstpage
    201
  • Lastpage
    205
  • Abstract
    Capacity-achieving signaling strategies for the Gaussian wiretap MIMO channel are investigated without the degradedness assumption. In addition to known solutions, a number of new rank-deficient solutions for the optimal transmit covariance matrix are obtained. The case of weak eavesdropper is considered in details and the optimal covariance is established in an explicit, closed-form with no extra assumptions. The conditions for optimality of zero-forcing signaling are established, and the standard water-filling is shown to be optimal under those conditions. No wiretap codes are needed in this case. The case of identical right singular vectors for the required and eavesdropper channels is studied and the optimal covariance is established in an explicit closed form. As a by-product of this analysis, we establish a generalization of celebrated Hadamard determinantal inequality using information-theoretic tools.
  • Keywords
    Gaussian channels; MIMO communication; covariance matrices; telecommunication security; telecommunication signalling; Gaussian wiretap MIMO channel; capacity-achieving signaling strategies; celebrated Hadamard determinantal inequality; eavesdropper channels; identical right singular vectors; information-theoretic tools; optimal covariance; optimal signaling; optimal transmit covariance matrix; rank-deficient solutions; secure MIMO channels; standard water-filling; weak eavesdropper; wiretap codes; zero-forcing signaling; Approximation methods; Covariance matrices; Information theory; MIMO; Signal to noise ratio; Standards; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2014 IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ISIT.2014.6874823
  • Filename
    6874823