• DocumentCode
    3602439
  • Title

    Disrupting MIMO Communications With Optimal Jamming Signal Design

  • Author

    Qian Liu ; Ming Li ; Xiangwei Kong ; Nan Zhao

  • Author_Institution
    Dept. of Comput. Sci. & Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA
  • Volume
    14
  • Issue
    10
  • fYear
    2015
  • Firstpage
    5313
  • Lastpage
    5325
  • Abstract
    This paper considers the problem of intelligent jamming attack on a MIMO wireless communication link with a transmitter, a receiver, and an adversarial jammer, each equipped with multiple antennas. We present an optimal jamming signal design, which can maximally disrupt the MIMO transmission when the transceiver adopts an anti-jamming mechanism. In particular, signal-to-jamming-plus-noise ratio (SJNR) at the receiver is used as the anti-jamming reliability metric of the legitimate MIMO transmission. The jamming signal design is developed under the most crucial scenario for the jammer where the legitimate transceiver adopt jointly designed maximum-SJNR transmit beamforming and receive filter to suppress/mitigate the disturbance from the jammer. Under this best anti-jamming scheme, we aim to optimize the jamming signal to minimize the receiver´s maximum-SJNR under a given jamming power budget. The optimal jamming signal designs are developed in different cases with accordance to the availability of channel state information (CSI) at the jammer. The analytical approximations of the jamming performance in terms of average maximum-SJNR are also provided. Extensive simulation studies confirm our analytical predictions and illustrate the efficiency of the designed optimal jamming signal on disrupting MIMO communications.
  • Keywords
    MIMO communication; approximation theory; array signal processing; jamming; MIMO wireless communication link; SJNR; anti-jamming reliability metric; channel state information; intelligent jamming attack; legitimate MIMO transmission; maximum-SJNR transmit beamforming; optimal jamming signal design; signal-to-jamming-plus-noise ratio; Jamming; MIMO; Measurement; Niobium; Receivers; Signal design; Wireless communication; Artificial interference; beamforming; jamming; multiple-input multiple-output (MIMO); power allocation; signal-to-jamming-plus-noise ratio (SJNR); signalto-jamming-plus-noise ratio (SJNR);
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2015.2436385
  • Filename
    7111376