Statistical modeling of rain attenuation in tropical terrestrial links

Abstract

This paper presents a statistical modeling of rain attenuation in terrestrial links located in a tropical region using different types of distribution. Each distribution is tested against long-term statistics of data collected during up to two years of experimental measurements in links operating at 15 GHz. Statistics obtained from each distribution are tested against the corresponding ones derived from the experimental data using a test variable described in the ITU recommendation P.311-13 and an alternative test variable.

Multi satellite MIMO systems at Ka band and above: Outage capacity analysis using bivariate IG distribution

“…In [6], the performance of modeling rain attenuation exceedance probability for a single link with IG distribution for a tropical region is the highest among other widely used distributions, such as Weibull, gamma and lognormal. Moreover, in [7], simple expressions for calculating the IG parameters of rain attenuation in terms of these of rain rate are given.…”

Outage performance of dual branch diversity techniques in broadband fixed wireless access networks

“…Moreover, in [10], a physical-mathematical method for the prediction of rain attenuation exceedance probability in terrestrial links given that rain rate and rain attenuation follow the IG distribution has been presented. Also, in [11], it is remarked that the IG distribution has the best overall performance for modelling the exceedance probability of rain attenuation in terrestrial links for tropical areas, using experimental data collected in Brazil. Considering joint statistics of rain attenuation, it was shown in [12] that bivariate IG distribution may have also very good results for the modelling of joint CCDF of rain attenuation in the Earth-Space systems.…”

Rain attenuation time series synthesizer based on inverse Gaussian distribution

“…However, recently, the inverse Gaussian (IG) distribution has been identified as a potential distribution for the description of rain attenuation's first order statistics, i.e. probability density function (PDF) and cumulative distributions [5,6]. Moreover, prediction methods for the long-term distribution of rain attenuation for satellite and wireless terrestrial links have been developed not only for single links but also for dual diversity and route diversity systems [7][8][9][10].…”