• DocumentCode
    1486943
  • Title

    On the Secrecy Rate of Multi-Antenna Wiretap Channel under Finite-Alphabet Input

  • Author

    Bashar, Shafi ; Ding, Zhi ; Xiao, Chengshan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Davis, CA, USA
  • Volume
    15
  • Issue
    5
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    527
  • Lastpage
    529
  • Abstract
    This work investigates the effect of limiting source signals to finite-alphabet on the secrecy rate of a multi-antenna wiretap system. Existing works have characterized maximum achievable secrecy rate or secrecy capacity for single- and multi-antenna systems based on Gaussian source signals and secrecy code. Despite the impracticality of Gaussian source, its compact closed-form expression of mutual information motivated broad use of Gaussian input assumption. For practical consideration, we study the effect of finite discrete-constellation on instantaneous and ergodic secrecy rate of multiple-antenna wire-tap channels. Our results demonstrate substantial difference between systems involving finite-alphabet inputs and systems with Gaussian inputs. Results from Gaussian inputs serve as upper-bound of secrecy rate for practical systems with finite alphabet inputs.
  • Keywords
    Gaussian channels; antennas; Gaussian input; Gaussian source signal; ergodic secrecy rate; finite discrete constellation; finite-alphabet input; multi-antenna system; multi-antenna wiretap channel; multi-antenna wiretap system; multiple antenna wire-tap channel; secrecy capacity; secrecy code; single-antenna system; Array signal processing; Jamming; Mutual information; Optimization; Power control; Resource management; Signal to noise ratio; Wiretap channel; eavesdropping; ergodic secrecy rate; finite-alphabet input; information-theoretic security;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2011.032811.102539
  • Filename
    5741764