Autors: Singh H., Saxena K., Kumar V., Bonev, B. G., Prasad R.
Title: An Empirical Model for Prediction of Environmental Attenuation of Millimeter Waves
Keywords: Attenuation, Cloud attenuation, Dielectric constants of wate

Abstract: The latest trends in mobile technology have increased the need for higher spectrum bands from every sector of using wireless applications. As the internet is growing rapidly it has increased the need for wireless services, which require radio spectrum and thus becoming more congested. Engineers show that due to high demand for spectrum, government authorities are regularly introducing schemes to regulate the use of spectrum. New researches are enhancing to resolve the crisis. In order to fix the spectrum for future technologies, propagation studies are required. In this paper an empirical model is proposed for prediction of attenuation due to clouds and fog based on the Rayleigh approximation model. In this model a new concept of calculating dielectric constants of water are also introduced. The implementation results of the proposed model are compared with the other cloud attenuation models. The proposed model proved to be better than the ITU-R model.

References

    Issue

    Wireless Personal Communications, vol. 115, issue 1, pp. 809-826, 2020, Switzerland, Springer, DOI: 10.1007/s11277-020-07599-2

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    2. Concurrent 60/94 GHz SIR Based Planar Antenna for 5G/MM-Wave Imaging Applications - 2021 - в издания, индексирани в Scopus и/или Web of Science
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    4. Ranji M.R., Salih M., Lei Z., Chen X., Machine Learning-Based Modeling of Rainfall Impact on FMCW Radar Performance, 2025, IEEE International Conference on Control and Automation Icca, issue 0, pp. 859-864, DOI 10.1109/ICCA65672.2025.11129844, issn 19483449, eissn 19483457 - 2025 - в издания, индексирани в Scopus
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    Вид: статия в списание, публикация в издание с импакт фактор, индексирана в Scopus