Here, we propose a data-driven model to predict in excess attenuation in the next future time-steps, by exploiting the real measurements (excess attenuation and ...
Here, we propose a data-driven model to predict in excess attenuation in the next future time-steps, by exploiting the real measurements. (excess attenuation ...
Sep 8, 2024 · This study combines quantitative and qualitative methods, collects data through questionnaires, and uses deep learning model for analysis.
Jul 8, 2024 · SATELLITE CHANNEL EXCESS ATTENUATION PREDICTION AT KA BAND USING DEEP LEARNING MODELS AND RAINFALL RATE DATA ; Session: MO3.R9: Precipitation and ...
Jun 28, 2024 · Satellite Channel Excess Attenuation Prediction at Ka Band Using Deep Learning Models and Rainfall Rate Data. Conference Paper. Jul 2024.
Abstract—This paper proposes the use of an artificial neu- ral network (ANN) for estimating the fading of a Q-band. (39.402 GHz) satellite channel exploiting ...
Abstract. This paper presents an example of usage of Ensemble Weather Forecast for the control of Satellite-based Com- munication Systems.
[PDF] Rain attenuation prediction model for satellite communications ... - HAL
hal.science › document
Jan 11, 2019 · Abstract. This paper presents an example of the usage of ensemble weather forecasting for the control of satellite-.
Abstract—This letter proposes the use of an artificial neural network (ANN) for estimating the fading of a Q-band (39.402 GHz) satellite channel exploiting ...
Short-term prediction of rain attenuation level and volatility in Earth-to-Satellite links at EHF band ... Deep learning for rain fade prediction in satellite ...