Autors: Singh H., Kumar V., Saxena K., Bonev, B. G., Prasad R.
Title: Prediction of Radio Wave Attenuation due to Clouds Using ANN and its Business Aspects
Keywords: Cloud Attenuation, ITU model, Satellite Communication, Millimeter Waves, Clustering, Regression Analysis, ANN, Machine Learning

Abstract: The demand for more radio spectrum bandwidths has risen as a result of recent developments in wireless technology from every field of the wireless industry. It's getting faster by the day, and we're on our way to greater mobility as the market for higher data rates grows. The growth of the internet has fuelled demand for wireless networks, causing the available radio spectrum to become increasingly congested. Various studies have found that the rising demand for spectrum is due to regulatory schemes put in place by authorities to protect the rapidly growing number of spectrum users. Researchers are putting in a lot of effort to establish a methodology for coping with the looming spectrum crisis. Several regulators have recently expressed interest in funding free radio channels to give unlicensed devices entry. Clouds, hail, dust, gases, and other troposphere phenomena are more vulnerable to frequencies above 10 GHz.



    29th National Conference with International Participation, TELECOM 2021, pp. 13-16, 2021, Bulgaria, DOI 10.1109/TELECOM53156.2021.9659801

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    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus