• DocumentCode
    715471
  • Title

    On MMSE properties of optimal codes for the Gaussian wiretap channel

  • Author

    Bustin, Ronit ; Schaefer, Rafael F. ; Poor, H. Vincent ; Shamai, Shlomo

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This work examines the properties of “good” codes for the scalar Gaussian wiretap channel that achieve the maximum level of equivocation. Specifically, the minimum mean-square error (MMSE) behavior of these codes is explored as a function of the signal-to-noise ratio (SNR). It is first shown that reliable decoding of the codeword at the legitimate receiver and at the eavesdropper, conditioned on the transmitted message, is a necessary and sufficient condition for an optimally secure code sequence. Moreover, it is observed that a stochastic encoder is required for any code sequence with rate below the channel point-to-point capacity. Then, for code sequences attaining the maximum level of equivocation, it is shown that their codebook sequences must resemble “good” point-to-point, capacity achieving, code sequences. Finally, it is shown that the mapping over such “good” codebook sequences that produces a maximum equivocation code must saturate the eavesdropper. These results support several “rules of thumb” in the design of capacity achieving codes for the Gaussian wiretap.
  • Keywords
    channel capacity; codes; least mean squares methods; sequences; Gaussian wiretap channel; MMSE properties; channel point-to-point capacity; code sequences; maximum equivocation code; minimum mean-square error behavior; optimal codes; signal-to-noise ratio; stochastic encoder; Decoding; Electrical engineering; Gaussian noise; Mutual information; Receivers; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2015 IEEE
  • Conference_Location
    Jerusalem
  • Print_ISBN
    978-1-4799-5524-4
  • Type

    conf

  • DOI
    10.1109/ITW.2015.7133139
  • Filename
    7133139