An Intelligent Model for prediction of Attenuation caused by Rain based on Machine Learning Techniques

Abstract

The availability is the key performance matrix for the satellite communication system. There are various factors which affect the availability of links like hardware reliability, fading, interference etc. Attenuation caused by hydrometeors specially rain plays a significant role when dealing with frequencies above 10 GHz. Various models have been proposed in this regard but ITU-R model for rain attenuation is acceptable worldwide. This paper describes This paper proposed a comprehensive review on computational intelligence-based techniques for analysis and prediction of attenuation by the outdoor environments during designing of radio links. A modified intelligent prediction model based on machine learning is also proposed to predict the attenuation caused by rain.