• DocumentCode
    3520812
  • Title

    Fixed SINR solutions for the MIMO wiretap channel

  • Author

    Swindlehurst, A. Lee

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2437
  • Lastpage
    2440
  • Abstract
    This paper studies the use of artificial interference in reducing the likelihood that a message transmitted between two multi-antenna nodes is intercepted by an undetected eavesdropper. Unlike previous work that assumes some prior knowledge of the eavesdropper´s channel and focuses on the information theoretic concept of secrecy capacity, we also consider the case where no information regarding the eavesdropper is present, and we use the relative signal-to-interference-plus-noise-ratio (SINR) of a single transmitted data stream as our performance metric. A portion of the transmit power is used to broadcast the information signal with just enough power to guarantee a certain SINR at the desired receiver, and the remainder of the power is used to broadcast artificial noise in order to mask the desired signal from a potential eavesdropper. The interference is designed to be orthogonal to the information signal when it reaches the desired receiver, and we study the resulting relative SINR of the desired receiver and the eavesdropper assuming both employ optimal beamformers.
  • Keywords
    MIMO communication; antenna arrays; array signal processing; channel capacity; radiofrequency interference; telecommunication security; wireless channels; MIMO wiretap channel; artificial interference; eavesdropper channel; information theoretic concept; multiantenna node; multiple input multiple output systems; optimal beamformer; secrecy capacity; secure communication; Broadcasting; Computer science; Cryptography; Degradation; Interference; MIMO; Signal to noise ratio; Transmitters; Transmitting antennas; Wireless communication; MIMO wiretap channel; interference alignment; secrecy capacity; secure communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960114
  • Filename
    4960114