Presented in this paper is an empirical model forlong-term rain attenuation prediction and statistical prediction of sitediversity gain on a slant path. Rain attenuation prediction on a slant path isderived using data collected from tropical regions, and the formula proposedis based on Gaussian distribution. The proposed rain attenuation model showsa considerable reduction in prediction error in terms of standard deviationand root-mean-square (rms) error. The site diversity prediction model isderived as a function of site separation distance, frequency of operation,elevation angle and baseline orientation angle. The novelty of the model isthe inclusion of low elevation angles and a high link frequency up to 70 GHz inthe model derivation. The results of comparison with Hodge, Panagopoulos andNagaraja empirical predictions show that the proposed model provides abetter performance for site separation distance and elevation angle. Theoverall performance of the proposed site diversity model is good, and thepercentage error is within the allowable error limit approved by International Telecommunication Union – Region (ITU-R).
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