Statistics of monthly and diurnal variations in the occurrence of rain fades are needed to give a detailed insight for system design of these services. This paper analyses the performance on three years of rain rate and rain attenuation measurement to study the empirical determination of power law coefficients calculated for monthly distribution of rain attenuation from the knowledge of rain rate at 19.8 GHz link for COMS1 in South Korea. The received signal data for rain attenuation and rain rate were collected at 10 second intervals over a three year period from 2013 to 2015. The comparison of measured data for monthly variation illustrates the suitability for the estimation of signal in Ka-band whose appropriateness is verified through the comparison with prominent rain attenuation models namely ITU-R P. 618-13 and empirically generated regression coefficients values for ITU-R P. 838-3. A monthly variation of the coefficients has been indicated, and the empirical measured data were compared with the ITU-R P. 838-3 derived regression coefficients. Moreover, the statistics analyzed to 6 hour contiguous periods of the day are also shown. Furthermore, the paper presents an overview of the redicted monthly variation of rain attenuation estimation of 2013 year for Ka band in 19.8 and 20.73 GHz from 12.25 GHz link which are obtained from the ITU-R P. 618-13 frequency scaling method, and these predictions are compared with experimentally measured values. These statistics can be useful for communication systems whose service quality and design require seasonal and diurnal variation.
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