scholarly journals Characterizing indoor wireless channels via ray tracing combined with stochastic modeling

2009 ◽  
Vol 8 (8) ◽  
pp. 4165-4175 ◽  
Author(s):  
A.O. Kaya ◽  
L.J. Greenstein ◽  
W. Trappe
Keyword(s):  
Ray Tracing ◽  
Stochastic Modeling ◽  
Wireless Channels ◽  
Indoor Wireless

Ray-Tracing-Aided Modeling of User-Shadowing Effects in Indoor Wireless Channels

2014 ◽  
Vol 62 (6) ◽  
pp. 3412-3416 ◽  
Author(s):  
Jae-Hoon Jung ◽  
Joonghee Lee ◽  
Jong-Ho Lee ◽  
Yong-Hwa Kim ◽  
Seong-Cheol Kim
Keyword(s):  
Ray Tracing ◽  
Wireless Channels ◽  
Indoor Wireless ◽  
Shadowing Effects

scholarly journals Validation of Three-Dimensional Ray-Tracing Algorithm for Indoor Wireless Propagations

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Majdi Salem ◽  
Mahamod Ismail ◽  
Norbahiah Misran
Keyword(s):  
Ray Tracing ◽  
Electromagnetic Waves ◽  
Three Dimensional ◽  
Prediction Method ◽  
Access Point ◽  
Network Access ◽  
Multiple Reflections ◽  
Indoor Wireless ◽  
3D Ray Tracing ◽  
Tracing Algorithm

A 3D ray tracing simulator has been developed for indoor wireless networks. The simulator uses geometrical optics (GOs) to propagate the electromagnetic waves inside the buildings. The prediction technique takes into account multiple reflections and transmissions of the propagated waves. An interpolation prediction method (IPM) has been proposed to predict the propagated signal and to make the ray-tracing algorithm faster, accurate, and simple. The measurements have been achieved by using a single Wi-Fi network access point as a transmitter and a laptop as a receiver. Measured data had been collected at different positions in indoor environment and compared with predicted signals. The comparison of the predicted and measured received signals gave root mean square error of 2.96 dB and std. deviation of 2.98 dB.

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