• DocumentCode
    2879395
  • Title

    Study on Formal Modeling and Analysis Method Oriented Cognitive Network

  • Author

    Jian Wang ; Lili Guo ; Guosheng Zhao

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    402
  • Lastpage
    405
  • Abstract
    Cognitive network is a new approach to solve self-management of complex heterogeneous network, and its model and analysis method are key problems to be solved. a formal modeling and analysis method for cognitive network is proposed based on stochastic process algebra. Firstly, basic concept of PEPA is introduced. then system behaviors are abstracted combining with cognitive essence, and formal models for cognitive network are constructed from the angles of macroscopic operating states and internal services with PEPA respectively. on the basis, quantitative analysis method is discussed. the proposed modeling and analysis method has the features logical accuracy, which can apply in any phases and direct the designation of cognitive network.
  • Keywords
    cognitive radio; complex networks; formal specification; formal verification; network theory (graphs); process algebra; stochastic processes; telecommunication computing; telecommunication networks; PEPA concept; cognitive essence; cognitive network; complex heterogeneous network; formal modeling; logical accuracy; network self-management; quantitative analysis method; stochastic process algebra; Algebra; Analytical models; Cognition; Computational modeling; Educational institutions; Markov processes; Steady-state; cognitive networks; formal modeling; performance evaluation process algebra; quantitative analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.251
  • Filename
    6406024