An Approach to Propagation Modeling for Indoor WLAN Applications Using Neural Networks

Author

Vilovic, I.

Author_Institution

Dubrovnik Univ.

fYear

2005

fDate

12-14 Oct. 2005

Firstpage

1

Lastpage

4

Abstract

This paper reports results obtained by propagation modeling for WLAN applications. A multi-ray model is proposed and tested through analytical calculations, neural network simulation, and measurements. As the case used a corridor of university building in Dubrovnik, for which calculation, simulation and measurement of signal strength were obtained. Calculation is based on ray-tracing method with neglecting diffraction and scattering. The results of calculation are compared with measurement. Neural network architecture is proposed with back-propagation training algorithm. The simulation data matches with measurement data rather good

Keywords

backpropagation; indoor radio; neural nets; wireless LAN; back-propagation training algorithm; diffraction; indoor WLAN applications; multiray model; neural network simulation; neural networks; propagation modeling; ray-tracing method; scattering; Analytical models; Diffraction; Electromagnetic measurements; Electromagnetic propagation; Floors; Geometry; Indoor environments; Neural networks; Ray tracing; Wireless LAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Electromagnetics and Communications, 2005. ICECom 2005. 18th International Conference on

Conference_Location

Dubrovnik

Print_ISBN

953-6037-44-0

Type

conf

DOI

10.1109/ICECOM.2005.204929

Filename

1613436