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

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Abstract

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 year. This motivates researchers and scientist for the higher spectrum bands. The major challenges for these bands are their more sensitive nature toward environmental factors like rain, dust, clouds etc. for the prediction of rain attenuation, various mathematical and empirical models are existed. Those models are not so accurate and complex. As technologies like Machine Learning and Artificial Intelligence are emerging to make any system smarter. Telecom engineers are looking for these technologies for making telecom system smarter. This research develops a model based on Artificial Neural Networks (ANN). The AMSER2 satellite supplied real-time data for this model's training. When compared to previous research, the suggested model will be more accurate. The development of next-generation communication systems will benefit from this model technique (6G).

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Funding

This work was not supported by the financial Grant from any organization.

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Authors and Affiliations

  1. Noida Institute of Engineering and Technology affiliated to AKT University Lucknow, India and Aarhus University, Aarhus, Denmark

    Vivek Kumar, Hitesh Singh & Kumud Saxena

  2. Technical University of Sofia, Sofia, Bulgaria

    Boncho Bonev

  3. Future Technologies for Business Ecosystem Innovation, Aarhus University, Herning, Denmark

    Ramjee Prasad

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  1. Vivek Kumar
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  2. Hitesh Singh
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  3. Kumud Saxena
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  4. Boncho Bonev
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  5. Ramjee Prasad
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Contributions

Did work for machine learning model for rain attenuation which will be helpful in future technology implementation.Add state of art for Rain attenuation in last few years.Implement machine and AI based model for radio wave propagation particular for 5G signal range.

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Correspondence to Hitesh Singh.

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Kumar, V., Singh, H., Saxena, K. et al. A Deep Learning Based Model for Prediction of RF Wave Attenuation Due to Rain. Wireless Pers Commun 131, 1437–1460 (2023). https://doi.org/10.1007/s11277-023-10493-2

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