期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2020
卷号：20
期号：10
页码：180-187
DOI：10.22937/IJCSNS.2020.20.10.23
出版社：International Journal of Computer Science and Network Security
摘要：Climate conditions can have enormous effects on communication systems. Knowing the factors which affects the transmission can help in planning and designing networks. Rain, cloud, gas and fog are some of the main factors which can cause signal attenuation; but cloud attenuation is the main impairment factor for mm wave signals propagating through the atmosphere. This is due to the structure of clouds and higher probability of its occurrence. Several empirical models are proposed in literature to study the impact of cloud attenuation. However, there are times when the measurable data is not available then we need the decision of an intelligent fuzzy based support system which enables us to determine the effect of weather parameters on the communication which further leads to check the possibility of communication at cloudy weather. This paper presents an intelligent fuzzy logic system for Salonen and Uppala, Mass Absorption and DAH cloud attenuation models to predict the strength of link communication in given weather conditions in the absence of empirical data. The fuzzy controller uses frequency, elevation angle and liquid water content as input parameters.
