Soft clustering for enhancing ITU rain model based on machine learning techniques
With the many folds increase in demand for capacity in mobile broadband communication
technology every year, wireless carriers must be prepared for the tremendous increase in …
technology every year, wireless carriers must be prepared for the tremendous increase in …
Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction
I Stefanovic, M Malnar, S Mladenovic… - Elektronika ir …, 2024 - eejournal.ktu.lt
In this research, the impact of various weather conditions on digital television signals is
investigated. Machine learning and nonlinear regression models were used to estimate the …
investigated. Machine learning and nonlinear regression models were used to estimate the …
CATEGORIZATION OF MEASURED RAINFALL RATES AND ESTIMATION OF THEIR IMPACT ON RADIO WAVE PROPAGATION AT HIGHER FREQUENCY BAND …
This study presents the categorization of measured rainfall rate and estimation of their
impact on radio wave propagating at 12.5 GHz. Rain rate at one minute interval were …
impact on radio wave propagating at 12.5 GHz. Rain rate at one minute interval were …
A Journey from Traditional to Machine Learnig of Radio Wave Attenuation Caused by Rain: A State of Art
Given the massive rapid growth for capacity in wireless data telecommunications every year,
wireless carriers must be planned for a thousand-fold increase in mobile traffic in 2020. It …
wireless carriers must be planned for a thousand-fold increase in mobile traffic in 2020. It …
Prediction of rain-induced attenuation along earth-space links at millimeter wave bands over West African Region
The present work characterizes the degree of rain-induced attenuation on 15-80 GHz earth-
space communication links. Eutelsats 36B and 36C, and NigComSat-1R satellite links over …
space communication links. Eutelsats 36B and 36C, and NigComSat-1R satellite links over …