Signal attenuation prediction podel for a 22 GHz terrestrial communication link in Sudan due to dust and sand storms using machine learning

• Main Authors: Shamim, Mohammed Zubair M., Elsheikh, Elfatih Abdelrahman Ahmed, Salih, Fakher Eldin Mohamed Suliman, Islam, Md Rafiqul
• Format: Article
• Language: English; English; English
• Published: IEEE 2021
• Subjects: TK5101 Telecommunication. Including telegraphy, radio, radar, television
• Online Access: http://irep.iium.edu.my/95206/1/2021-IEEE%20Access-Signal_attenuation_prediction.pdf; http://irep.iium.edu.my/95206/2/2021%20-%20IEEE%20Xplore%20Publication%20Alert.pdf; http://irep.iium.edu.my/95206/13/95206_Signal%20Attenuation%20Prediction%20Model%20_Scopus.pdf; http://irep.iium.edu.my/95206/; http://doi.org/10.1109/ACCESS.2021.3132700

Signal attenuation due to dust and sand storms is one of the major problems in the utilization of microwave frequency bands for terrestrial and space communication especially in arid regions such as Northern Africa and Middle Eastern regions. In this paper, a machine learning (ML) model is developed...