Preliminary rain rate statistics with one‐minute integration time for radio propagation uses in Venezuela

Author:

Pérez‐García Nelson1ORCID,Pinto Angel D.2ORCID,Torres Juan M.2ORCID,Rivera Yair E.3ORCID,da Silva Mello Luiz A.R.4ORCID,Garcia Rodrigo5ORCID,Ramírez Eduardo J.1ORCID,Guevara‐Salgado Pedro5ORCID

Affiliation:

1. Postgrado en Telecomunicaciones (PTEL) and Grupo de Investigación de Telecomunicaciones (GITEL) Universidad de Los Andes (ULA) Mérida Venezuela

2. Escuela de Ingeniería de Sistemas Universidad del Sinú Montería Colombia

3. Ingeniería de Sistemas Corporación Universitaria Americana Barranquilla Colombia

4. Centro de Estudos em Telecomunicações Pontificia Universidad Católica de Río de Janeiro (PUC/Rio) Rio de Janeiro Brazil

5. Departamento de Ingeniería de Sistemas y Telecomunicaciones Universidad de Córdoba Montería Colombia

Abstract

AbstractIn the present study, rainfall rate statistics for radio propagation applications collected during 1‐year measurement with a 1‐min integration time in three locations of Venezuela are presented and analyzed for the first time in the country. Specifically, the statistics of the worst‐month (WM) are assessed and compared with the Recommendation ITU‐R P.841‐7 prediction model. The results indicate that the model does not accurately predict the statistics of the WM in the country. Also, the performance of Recommendation ITU‐R P.837‐7 (Annex 1 and Annex 2) in estimating the rain rate for a 1‐min integration time at the three locations is examined, with the ITU‐R P.837‐7 Annex 1 exhibiting the best performance and providing results that encourage its use in the prediction of complementary cumulative distributions of rain rate in the country.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Reference14 articles.

1. A Review on Rain Signal Attenuation Modeling, Analysis and Validation Techniques: Advances, Challenges and Future Direction

2. Recommendation ITU‐R P.837‐7.Characteristics of precipitation for propagation modelling.International Telecommunication Union Radiocommunication Sector Geneva Switzerland2017

3. Oceanic influence on the precipitation in Venezuela under current and future climate

4. Luini L. Emiliani L. Capsoni C.:Worst‐month tropospheric attenuation prediction: Application of a new approach. In:10th European Conference on Antennas and Propagation (EuCAP 2016) IEEE(2016)

5. Rain attenuation and worst month statistics verification and modeling for 5G radio link system at 26 GHz in Malaysia;Shayea I.;Trans. Emerg. Tel. Tech.,2019

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