Mean receiver power prediction for indoors 802.11 WLANS using the ray tracing technique
Jaime Sánchez, Cristina De Castro, L. Villaseñor
Abstract
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Jaime Sánchez, Cristina De Castro, L. Villaseñor
Abstract
Open-access reader
A technique for the modeling of wireless channels, namely the image ray tracing algorithm, is developed in this work to predict the local mean received power of a wireless local area network (WLAN) based on the 802.11a standard operating in the 5 GHz band. This technique has been enhanced in order to account for the propagation of the electromagnetic waves thru a wireless environment, including the absorption and reflection phenomenon at obstacles. The image ray tracing algorithm is used to calculate all the possible propagation paths between a radio transmitter and a receiver. The simulation results of the mean received power strength are compared against field measurements to validate the convenience of the simulation approach.
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A technique for the modeling of wireless channels, namely the image ray tracing algorithm, is developed in this work to predict the local mean received power of a wireless local area network (WLAN) based on the 802.11a standard operating in the 5 GHz band. This technique has been enhanced in order to account for the propagation of the electromagnetic waves thru a wireless environment, including the absorption and reflection phenomenon at obstacles. The image ray tracing algorithm is used to calculate all the possible propagation paths between a radio transmitter and a receiver. The simulation results of the mean received power strength are compared against field measurements to validate the convenience of the simulation approach.
Key concepts: Ray tracing (physics), Transmitter, Wi-Fi, Wireless, Computer science, Power delay profile, Visible light communication, Radio propagation