The introduction of 5G technologies gave rise to new exposure and propagation scenarios in which information about electric field levels in the environment is of crucial importance. Ray tracing technique is a valuable support in planning 5G networks, considering the high frequencies involved. Nevertheless, according to the specific features of the employed ray tracing algorithm, tools outcomes may differ, and thus it is necessary to analyze their main potential and limitations. Here we propose a systematic method to compare different ray tracing tools and apply it to the comparison of three different tools, whose predictions are also compared to measurements.

A Comparative Study for Ray Tracing Tools Assessment in 5G Scenarios: From Numerical to Experimental Analysis / Lodato, Francesca; Garzia, Andrea; Iodice, Antonio; Valbonesi, Simona; Ruello, Giuseppe; Salvo, Pierpaolo; Folli, Marcello; Suman, Riccardo; Massa, Rita. - (2025), pp. 1-6. ( 117th AEIT International Annual Conference, AEIT 2025 ita 2025) [10.23919/aeit67669.2025.11218129].

A Comparative Study for Ray Tracing Tools Assessment in 5G Scenarios: From Numerical to Experimental Analysis

Lodato, Francesca
Primo
;
Iodice, Antonio;Ruello, Giuseppe;Massa, Rita
Ultimo
2025

Abstract

The introduction of 5G technologies gave rise to new exposure and propagation scenarios in which information about electric field levels in the environment is of crucial importance. Ray tracing technique is a valuable support in planning 5G networks, considering the high frequencies involved. Nevertheless, according to the specific features of the employed ray tracing algorithm, tools outcomes may differ, and thus it is necessary to analyze their main potential and limitations. Here we propose a systematic method to compare different ray tracing tools and apply it to the comparison of three different tools, whose predictions are also compared to measurements.
2025
979-8-3315-8714-7
A Comparative Study for Ray Tracing Tools Assessment in 5G Scenarios: From Numerical to Experimental Analysis / Lodato, Francesca; Garzia, Andrea; Iodice, Antonio; Valbonesi, Simona; Ruello, Giuseppe; Salvo, Pierpaolo; Folli, Marcello; Suman, Riccardo; Massa, Rita. - (2025), pp. 1-6. ( 117th AEIT International Annual Conference, AEIT 2025 ita 2025) [10.23919/aeit67669.2025.11218129].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1031662
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