• DocumentCode
    3086995
  • Title

    Modelling New Indoor Propagation Models for WLAN Based on Empirical Results

  • Author

    Sadiki, Tayeb ; Paimblanc, Philippe

  • Author_Institution
    TeSA Lab., Toulouse
  • fYear
    2009
  • fDate
    25-27 March 2009
  • Firstpage
    585
  • Lastpage
    588
  • Abstract
    This paper presents the modelling of new WLAN models for different indoor environments. This work was carried out in the frame of the FIL project which is funded by the French research agency ANR, in collaboration with Thales Alenia Space France. Based on the standard Opnet models for WLAN nodes, the propagation loss estimation for these types of environment has been improved. We derive an empirical model for spatial registration patterns of mobile users as they move within a TeSA Labs wireless local area network (WLAN) environment and register signal power from different access points. Such a model can be very useful in a variety of simulation studies of the performance of mobile wireless systems, to address issues such as resource management and mobility management protocols. We base the model on extensive experimental data from a TeSA Labs 2.4 GHz WiFi LAN installation. We divide the empirical data available to us into training and test data sets, develop the model based on the training set, and evaluate it against the test set. The new scenarios used to simulate these new propagation models are shown. Finally, results, conclusions and further work are given.
  • Keywords
    indoor radio; mobile radio; radiowave propagation; wireless LAN; Opnet model; WLAN; access point; indoor propagation model; mobile user; spatial registration pattern; Collaborative work; Indoor environments; Management training; Mobile radio mobility management; Power system modeling; Propagation losses; Resource management; Testing; Wireless LAN; Wireless application protocol; Propagation model; WLAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-3771-9
  • Electronic_ISBN
    978-0-7695-3593-7
  • Type

    conf

  • DOI
    10.1109/UKSIM.2009.112
  • Filename
    4809830