• DocumentCode
    3297248
  • Title

    An approach using Qualitative Probabilistic Networks for knowledge modeling in Cognitive Wireless Networks

  • Author

    Balamuralidhar, P.

  • Author_Institution
    TCS Innovation Labs., Tata Consultancy Services Ltd., Bangalore, India
  • fYear
    2013
  • fDate
    24-27 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This is an exploratory study on the suitability of using Qualitative Probabilistic Networks (QPN) for knowledge modeling and inference in Cognitive Wireless Networks. This study brings out the advantages and issues involved in using QPN for modeling the dynamic behavior of wireless networks. Application and limitations of using QPN is illustrated with the modeling of a cognitive radio link. The same methodology is extendable to model network layer behaviors as well.
  • Keywords
    cognitive radio; radio links; wireless channels; QPN; cognitive radio link; cognitive wireless networks; dynamic behavior; knowledge modeling; network layer behaviors; qualitative probabilistic networks; Adaptation models; Power capacitors; Sensors; Wireless networks; Cognitive Cross layer optimization; Cognitive Networks; Cognitive Radio; Qualitative Probabilstic Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), 2013 3rd International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    978-1-4799-0237-8
  • Type

    conf

  • DOI
    10.1109/VITAE.2013.6617055
  • Filename
    6617055