Abstract
This paper presents a new propagation model for evaluating the fading of wireless communication signals in forests. The model considers rainfall and snowfall effects, and allows for the estimation of attenuation at varying frequencies in the VHF/UHF bands that are used by cognitive radios. The structure of the vegetation environment is represented here by five material layers, namely soil, scrubs and small plants under the trees, trunks of trees, foliage of trees, and free space. The model parameters are optimized using the least squares technique. The resulting model is verified by comparison with measured data where acceptable agreement is observed. The average rain rate R0.01% that will probably be exceeded for at most 0.01% of the year is computed using real measured data in Jordan. R0.01% is found to be 22.9 mm/h which agrees with the ITU recommended value of 22 mm/h.
On leave from Jordan University of Science and Technology, Irbid 22110, Jordan, salameh@just.edu.jo.
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The author would like to thank Jordan University of Science & Technology and the American University of Madaba for their continuous support.
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Al Salameh, M.S.H. (2019). An Optimized Five-Layer Model with Rainfall Effects for Wireless Propagation in Forests. In: Kumar, A., Mozar, S. (eds) ICCCE 2018. ICCCE 2018. Lecture Notes in Electrical Engineering, vol 500. Springer, Singapore. https://doi.org/10.1007/978-981-13-0212-1_13
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