• Abdulrahman A. Yusuf
  • Falade, A
  • Olufeagba, B. J
  • Mohammed, O. O
  • Tharek A. Rahman



Distance factor, prediction models, rain-induced attenuation, RMS, tropical climates


Rain attenuation prediction model over terrestrial links in equatorial and tropical climates has been reported by several authors. Correction factors have been incorporated in the expressions for distance factor and extrapolation method in the latest ITU-R P.530-14. However, its performance has not been rigorously evaluated in the afore-mentioned climates. The comparison of measurement data with ITU-R P.530-14 and three prediction models is presented in this article. The data were collected on six geographically spread terrestrial microwave DIGI MINI-LINKs operating at 15 GHz in a tropical Malaysian climate. When tested against measurements, the Da Silva Mello method yields a significant improvement for the prediction of rain attenuation complementary cumulative distribution functions (CCDFs) over tropical regions, compared to other models. The observed prediction errors suggest that more data are still needed from these climates to improve the model performances


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How to Cite

Abdulrahman A. Yusuf, Falade, A, Olufeagba, B. J, Mohammed, O. O, & Tharek A. Rahman. (2016). STATISTICAL EVALUATION OF MEASURED RAIN ATTENUATION IN TROPICAL CLIMATE AND COMPARISON WITH PREDICTION MODELS. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 15(2), 123–134.



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