• DocumentCode
    3579616
  • Title

    Impact of estimated CSI quantization on secrecy rate loss in pilot-aided MIMO systems

  • Author

    Zhangjie Peng ; Jun Zhu ; Wei Xu ; Hua Zhang ; Chunming Zhao

  • Author_Institution
    Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
  • fYear
    2014
  • Firstpage
    1326
  • Lastpage
    1331
  • Abstract
    In this paper, we investigate the system performance from the physical layer security provision under imperfect channel state information (CSI). In a classical transmitter (Alice)-legitimate receiver (Bob)- eavesdropper (Eve) model, we introduce artificial noise (AN) to disturb Eve´s reception, as Eve´s CSI is unknown to Alice. For designing the transmit beamforming vector of the information signal and precoding matrix of AN, Bob feeds back the quantized CSI estimation to Alice. Due to the effects of imperfect CSI at Alice, the secrecy system performance is upper bounded at high SNRs. In order to overcome the problem, by utilizing our derived upper bound on the secrecy rate loss, we put forward a scaled feedback strategy for the secrecy system. By employing the proposed strategy, the secrecy rate increases with transmit power despite that Alice can only obtain imperfect Bob´s CSI, and the secrecy rate loss between perfect CSI and imperfect CSI can be controlled within a certain gap. Computer simulations are provided to verify our derived results.
  • Keywords
    MIMO communication; array signal processing; matrix algebra; precoding; CSI quantization; imperfect channel state information; physical layer security provisi; pilot-aided MIMO systems; precoding matrix; scaled feedback strategy; secrecy rate loss; transmit beamforming vector; transmitter legitimate receiver eavesdropper model; Channel estimation; Quantization (signal); Receivers; Security; Signal to noise ratio; Upper bound; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2014
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2014.7063617
  • Filename
    7063617