A fully discrete Ray Launching field prediction algorithm that takes advantage of environment visibility preprocessing for both diffuse and specular interactions is presented and used to perform efficient RF coverage prediction in large environments. The algorithm, being discrete, has been parallelized in a straightforward way on NVIDIA-compatible Graphical Processing Units. These innovative features combined allow to achieve a computation time reduction of about three orders of magnitude compared to conventional algorithms, while retaining the same accuracy level.

Efficient RF Coverage Prediction through a fully Discrete, GPU-Parallelized Ray-Launching model

Degli-Esposti, V.;Vitucci, E. M.;Fuschini, F.;Barbiroli, M.;
2018

Abstract

A fully discrete Ray Launching field prediction algorithm that takes advantage of environment visibility preprocessing for both diffuse and specular interactions is presented and used to perform efficient RF coverage prediction in large environments. The algorithm, being discrete, has been parallelized in a straightforward way on NVIDIA-compatible Graphical Processing Units. These innovative features combined allow to achieve a computation time reduction of about three orders of magnitude compared to conventional algorithms, while retaining the same accuracy level.
Proceedings of the 12th European Conference on Antennas and Propagation (EuCAP 2018)
220
224
Degli-Esposti, V.; Lu, J.S.; Vitucci, E.M.; Fuschini, F.; Barbiroli, M.; Blaha, J.; Bertoni, H.L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/651399
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