• DocumentCode
    3535101
  • Title

    Modeling quantized fading channels as uncertainty: A quasi-Signal-to-Noise-Ratio approach

  • Author

    Xiang Chen ; Guoxiang Gu ; Li Qiu ; Yu Feng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    5282
  • Lastpage
    5287
  • Abstract
    In this paper, we propose a new approach to model the network communication channel broadly used in networked control systems, which normally carries a quantizer subject to multiplicative random noise (fading effect). This new modeling approach is robust control oriented which allows factorization of the quantized fading channels (QFC) into a disturbance path, involving both quantization and fading impacts, and a nominal dedicated path. A quasi-Signal-to-Noise-Ratio (qSNR) is introduced to characterize the QFC, mimicking the traditional characterization of a disturbance uncertainty set in the norm bound. Through an example, it is shown that this new modeling approach turns the stabilizing control problem for networked systems with QFC into a normal small-gain design issue and offers a nice physical interpretation of the communication channel when its impact is considered on the performance of networked control systems. It is also shown that this new channel model is comprehensive, providing an unified expression of QFCs with either relative-error or multiplicative-error quantization.
  • Keywords
    fading channels; quantisation (signal); robust control; QFC characterization; QFC factorization; communication channel physical interpretation; disturbance path; disturbance uncertainty set; fading effect; fading impact; modeling approach; multiplicative random noise; multiplicative-error quantization; network communication channel; networked control systems; nominal dedicated path; norm bound; qSNR approach; quantization impact; quantized fading channel modeling; quasisignal-to-noise-ratio approach; relative-error quantization; robust control; small-gain design issue; stabilizing control problem; Abstracts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760720
  • Filename
    6760720