Rain Attenuation Prediction Model for Satellite Communications in Tropical Regions

Abstract

This paper proposes a model for predicting rain attenuation in the tropical region. Slant path rain attenuation measurements were carried out in Singapore by analyzing the beacon signals from two satellites, namely WINDS and GE23, operating at frequencies of 18.9 and 12.75 GHz respectively. Rainfall rates at the location of the beacon receivers were recorded. The cumulative distributions of the rainfall rate and the corresponding rain attenuation are presented and analyzed. It is found that the cumulative distribution of the measured rainfall rate is close to that predicted by the ITU-R model. Measurement data from a total of nine countries are compared with four existing rain attenuation prediction models, namely the Yamada, DAH, Karasawa and Ramachandran models. Results show that although three of these models have relatively good prediction capability for the tropical region, they could be improved. Therefore, in this paper, a slant path rain attenuation model suitable for the tropical region is proposed. This is done by using the complementary cumulative distributions of rain attenuation for satellite links measured in Singapore and five other tropical countries. The proposed model is found to outperform existing models.

Prediction model of time diversity using Japan rain radar data

“…Figure shows the comparison of the predicted diversity gain between Matricciani's model derived for Spino, Italy and our proposed model derived for Japan determined from the frequency‐dependent coefficients of time delays in Table and from Equation . The results in Figure (a) and (b) show that Matricciani's model overestimates and it gives more error than our proposed model, for example, at 10 min delay prediction, Matricciani's model error is 0.894 but our proposed model error is 0.256 and other quantitative errors are shown in Table .…”

Performance of Resource Management Techniques for Weather-Impacted Satellite Networks

“…However, the efficiency of these techniques in guaranteeing optimal performance of the network in the utilization of allocated resources as well as satisfaction of the QoS requirements of accepted connections is directly related to the accuracy with which the dynamics of rain attenuation are perceived. Prediction-based models of rain events have been developed and are employed to predict the rain attenuation on satellite links [2][3][4]. Based on these models, various techniques are developed to efficiently mitigate the rain attenuation experienced by users.…”

Rainfall rate and rain attenuation contour maps for preliminary “Simon Bolivar” satellite links planning in Venezuela

“…Previous studies have shown several models rain attenuation prediction for satellite communication systems, for example, Recommendation ITU-R P.618-13 [2], Ramachandran-Kumar model [3], Yeo-Lee-Ong model [4] and Rakshit-Adhikari-Maitra model [5]. These models depend on rain rate, R, so accuracy in predicting rain attenuation is mainly related to whether or not rain measurements exist in the locality of interest.…”