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Characterization of Rain Attenuation in 80–200 GHz From Experimental Drop Size Distributions

José Manuel Riera, Domingo Pimienta‐del‐Valle, Santiago Pérez-Peña, Pedro García-del-Pino, Ana Benarroch, Ana Calvo, Carlos Blanco‐Alegre

2023IEEE Transactions on Antennas and Propagation11 citationsDOIOpen Access PDF

Abstract

The use of frequencies well into the extra high frequency (EHF) band (30–300 GHz) is a key element in 5G and beyond technologies. Rain attenuation is the major impairment affecting terrestrial radio links in this band. In the absence of enough experimental measurements, rain attenuation can be estimated by using physical models of radiowave scattering in raindrops combined with information about the raindrop size distributions (DSD). In this work, the characterization of rain attenuation in the 80–200 GHz frequency range is carried out from a large database of 12 years of experimental DSD gathered in Madrid, Spain. Rain attenuation is estimated for each collected minute of rain using two approaches: a first one based on the assumption of raindrops as spherical and the application of the Mie theory, and a second one that uses a non-spherical raindrop model and electromagnetic simulations and is consequently more realistic. The main results show that the currently used International Telecommunications Union-Radiocommunications Sector (ITU-R) model generally underestimates rain-specific attenuation; the influence of polarization becomes smaller and negligible as the frequency approaches 200 GHz; and rain-specific attenuation significantly varies due to the spread of the DSD. Moreover, a model for this variability of rain attenuation is also proposed.

Topics & Concepts

AttenuationEnvironmental scienceRemote sensingRadio waveRain rateScatteringRadio spectrumPolarization (electrochemistry)MeteorologyComputational physicsPhysicsOpticsComputer scienceTelecommunicationsGeologyPhysical chemistryChemistryPrecipitation Measurement and AnalysisMillimeter-Wave Propagation and ModelingPower Line Communications and Noise
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