Prediction of local mean power using 2-D ray-tracing-based propagation models

Prediction of local mean power using 2-D ray-tracing-based propagation models

Mean receiver power prediction for indoors 802.11 WLANs using the ray tracing technique

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 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 abso...

A New Approach to 3-D Ray Tracing for Propagation Prediction in Cities

A vertical-plane-launch (VPL) technique for approximating a full three dimensional (3-D) site-specific ray trace to predict propagation effects in cities for frequencies in the 300MHz–3-GHz band is described and its predictions are compared with measurements for Rosslyn, VA. The VPL technique employs the standard shoot and bounce method in the horizontal plane while using a deterministic approa...

Accelerated Three Dimensional Ray Tracing Techniques Using Ray Frustums for Wireless Propagation Models

In this paper, accelerated techniques for three dimensional ray tracing using the concept of ray frustums are presented for the fast characterization of wireless communications, where various radio propagation paths such as wall-transmitted wave and scattered wave from buildings and ground are generated. To accommodate such scatterers, objects are modeled by triangulated meshes, and potential r...

Radio-wave propagation prediction using ray-tracing techniques on a network of workstations (NOW)

Ray-tracing based radio wave propagation prediction models play an important role in the design of contemporary wireless networks as they may now take into account diverse physical phenomena including reflections, diffractions, and diffuse scattering. However, such models are computationally expensive even for moderately complex geographic environments. In this paper, we propose a computational...