A Deep Learning Based Model for Prediction of RF Wave Attenuation Due to Rain

V Kumar, H Singh, K Saxena, B Bonev… - Wireless Personal …, 2023 - Springer
Mobile providers must be preparing for a rapid increase with mobile traffic in future, given
the significant growth in demand for wireless data capacity for communications link every …

Presenting AR Model Error in Terms of Geman-McClure Function for Prediction of Processes in Telecommunications

O Holubnychyi, M Zaliskyi, O Shcherbyna… - Radioelectronics and …, 2022 - Springer
Specific features of using the Geman-McClure function have been analyzed that are based
on its properties in predicting telecommunication processes with anomalies or deviations by …

In Search of a Location-Centric Rain Attenuation Model

R Sen Jaiswal, KT Lakshmi - Wireless Personal Communications, 2022 - Springer
In search of an accurate location-centric rain-induced attenuation model, in this paper, the
authors have investigated the measured attenuation and rainfall intensities at a few …

[HTML][HTML] Подання похибки AR моделі через функцію Джимана-МакКлура при прогнозуванні процесів у телекомунікаціях

О Голубничий, М Заліський, О Щербина… - Вісті вищих учбових …, 2022 - radio.kpi.ua
Анотація Проаналізовано особливості використання функції Джимана-МакКлура, які
ґрунтуються на її властивостях, при прогнозуванні у телекомунікаціях процесів з …

[PDF][PDF] Evaluation of Some Raindrop Size Distribution Models for Different Rain Rates

S Tyokighir, G Igwue - researchgate.net
Results from the performance of the Negative exponential and Gamma function distribution
model in a tropical location is presented in this work. The inputs to the drop size distribution …