The purpose of this project is investigating attenuations caused by rain on different microwave links operating above 10 GHz frequency stationed in Hungary. For microwave links operating on 10 GHz frequency, attenuation caused by precipitation is one of the most harmful circumstantial factors. The measured results can tell us something about climate change or climate variability. Today the network model that is used for microwave network planning assumes a constant climate. However, network planning should take into account that climate is not constant, because the changing and varying weather has an effect on the amount outage of the receiver. The first step was to manually clean the database from any attenuation which is not caused by rain. Then CCDF (complex cumulative distribution functions) and CCFD (complementary cumulative frequency distribution functions) were created for each investigated link and for each investigated year. However, in order to compare all the links at simultaneously, all of them had to be mathematically transformed into a hypothetical link that consist of all processed real links, in order to obtain equal parameters. This was necessary in order to search for a trend in the measurements which can be generalized to describe the entire country. Based on the results from the CCDF and CCFD functions, linear and non-linear regression were applied, in order to model how the rain attenuation statistics varied over the years.
(I am an English student in the international program so I was told that I don't need to write it in Hungarian).