A Smart Model for Prediction of Radio Wave Attenuation Due to Clouds and Fog (SMRWACF)

The recent trend in wireless technology has been tremadously increased the demand of higher frequency bands from every corners of the mobile technology. As next generation mobile technologies are evolved very rapidly and world is moving towards online platform so technologies with faster internet without any delay is required. Millimeter waves and sub-millimeter waves are better candidate for this type of services due to availability of higher bandwidth. These higher frequencies are come with the challenge of environmental attenuation due to rain, fog, dust etc. Radio wave attenuation caused due to cloud is significant in case of satellite communication. Different Models are available for calculating attenuation like ITU-R, slobin, gunn, etc. but ITU-R is widely acceptable model. In order to calculate attenuation using ITU-R model real and imaginary parts of dielectric constants of water droplets are required. In this paper new method is introduced to calculate real and imaginary part of dielectric constant of water droplet using machine learning techniques. Results obtained from propose model is compared with ITU-R and other published model.The advantage of propose model is that, it is very simple as it contains quadratic equation as compared with ITU-R model.