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.
Degli-Esposti, V., Lu, J., Vitucci, E., Fuschini, F., Barbiroli, M., Blaha, J., et al. (2018). Efficient RF Coverage Prediction through a fully Discrete, GPU-Parallelized Ray-Launching model. IET Conference Publications [10.1049/cp.2018.0579].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
