IEEE Open Journal of Antennas and Propagation (Jan 2024)

The Path Reduction Factor for the Prediction of Rain Attenuation Affecting Short EHF Terrestrial Links

  • Francesco Capelletti,
  • Carlo Riva,
  • Giuseppe Roveda,
  • Lorenzo Luini

DOI
https://doi.org/10.1109/OJAP.2023.3340896
Journal volume & issue
Vol. 5, no. 1
pp. 225 – 237

Abstract

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The path reduction factor (PRF), a key element of semi-empirical rain attenuation statistics prediction models, is investigated to shed some light on its value for links shorter than 1 km. PRF is here calculated from simulations underpinned by the use of the Enhanced Synthetic Storm Technique (E-SST) to take into account the rain rate spatial distribution along the path. This novel approach, in contrast with the more customary one of inferring a PRF model from measurements, offers the advantage of avoiding considering any unwanted additional attenuation not due to precipitation, but typically linked to system-induced effects. Results indicate that, as expected, PRF reduces with the increase in the rain rate ${R}$ and in the path length ${L}$ , and they also reveal quite a marginal dependence on the operational frequency. Most importantly, the outcomes highlight that the maximum values of PRF only slightly exceeds 1 and, in addition, they provide a possible explanation as to why, on the contrary, the path reduction factor defined in the Recommendation ITU-R P.530–18 is characterized by a steep increase as ${L}$ reduces.

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