Use of least square approximation of the attenuation factor -n in the COST 231 one-slope model

  • Authors:

  • Petros T. Stathopoulos;Konstantinos N. Voudouris

  • Affiliations:

  • Technological Educational Institute of Athens, Department of Electronics, Athens, Greece;Technological Educational Institute of Athens, Department of Electronics, Athens, Greece

  • Venue:
  • ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
  • Year:
  • 2006

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Abstract

This paper demonstrates the effectiveness of the COST 231 empirical model, in comparison with ray-tracing, when limited data is available. Aim of the study is to positively contribute towards modeling the coverage of WiFi networks in indoor and thus electromagnetically complex environments. The reason behind this attempt is the agreeable degree of accuracy which can be achieved when using empirical modeling, given that the attenuation factor n is adequately defined. The previous is achieved via a simple approximation application deployed with the MATLAB software package. The application employs the least square method to attune itself to the input data of a measurement in csv format. The received power level at remote stations measurements were performed as part of a measurement campaign in a particular indoor environment. The experimental results are analyzed, discussing the needs and advantages of the different methodologies for estimation.