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2021 | OriginalPaper | Chapter

Machine Learning-Based Rain Attenuation Prediction Model

Authors : Md Anoarul Islam, Manabendra Maiti, Pradip Kumar Ghosh, Judhajit Sanyal

Published in: Computers and Devices for Communication

Publisher: Springer Singapore

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Abstract

Rain attenuation is an important factor affecting wireless communication systems throughout the world. Rain attenuation and rain rate data are collected using multichannel radiometer and laser precipitation monitor at a tropical location. The dataset obtained is used to initially propose an empirical model for prediction of rain attenuation from rain rate data. An alternative model using linear spline regression-based machine learning is also used to predict rain attenuation. The machine learning-based model is found to be more accurate by an appreciable degree compared to the empirical model proposed in the previous instance.

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Literature
1.
Verma, A.K., Jha, K.K.: Rain drop size distribution model for Indian climate. Indian J. Radio Space Phys. 25, 15–21 (1996)
2.
Matricciani, E.: Service oriented statistics of interruption time due to rain fall in earth space communication systems. IEEE Trans. Antennas Propag. 52(8), 2083–2090 (2004)CrossRef
3.
Kumar, V., Ramachandran, V.: Rain attenuation measurement at 11.6 GHz in Suva, Fiji. Electron. Lett. 40(2), 1429–1431 (2004)
4.
Singh, M.S.J., Hassan, S.I.S., Ain, M.F., Igarashi, K., Tanaka, K., Iida, M.: Rain attenuation model for South East Asia countries. IET Electron. Lett. 43(2), 75–77 (2007)CrossRef
5.
Mandeep, J.S., Allnutt, J.E.: Rain attenuation predictions at ku-band in South East Asia countries. Prog. Electromagn. Res. 76, 65–74 (2007)CrossRef
6.
Ramchandran, V., Kumar, V.: Modified rain attenuation model for tropical regions for ku-band signals. Int. J. Satell. Commun. Netw. 25, 53–67 (2007)CrossRef
7.
Allnutt, J.E.: Slant path attenuation and space diversity results using 11.6 GHz radiometer. Proc. IEE 123, 1197–1200 (1976)
8.
Shayea, I., Rahman, T.A., Azmi, M.H., Islam, M.R.: Real Measurement study for rain rate and rain attenuation conducted over 26 GHz microwave 5G link system in Malaysia. IEEE Access 6, 19044–19064 (2018)
9.
Regonesi, E., Luini, L., Riva, C.: Limitations of the ITU-R P.838-3 model for rain specific attenuation. In: 2019 13th European Conference on Antennas and Propagation (EuCAP), Krakow, Poland, pp. 1–4 (2019)
10.
Verma, A.K., Nandan, D.R., Verma, M.A.: Rain drop size distribution and variability of specific rain attenuation for Indian climate. In: 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), New Delhi, India, pp. 1–4 (2019)
11.
Brost, G., Magde, K.: On the processing of loss-of-lock attenuation and rain rate statistics. In: 2019 13th European Conference on Antennas and Propagation (EuCAP), Krakow, Poland, pp. 1–3 (2019)
12.
Ahuna, M.N., Afullo, T.J., Alonge, A.A.: Rain attenuation prediction using artificial neural network for dynamic rain fade mitigation. SAIEE Afr. Res. J. 110(1), 11–18 (2019)CrossRef
13.
Yang, H., He, C., Song, W., Zhu, H.: Using artificial neural network approach to predict rain attenuation on earth-space path. In: IEEE Antennas and Propagation Society International Symposium. Transmitting Waves of Progress to the Next Millennium. 2000 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (C), Salt Lake City, UT, vol. 2, pp. 1058–1061 (2000)
14.
Sujimol, M.R., Acharya, R., Shahana, K.: Prediction and estimation of rain attenuation of Ka-band signals. In: 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), New Delhi, India, p. 1 (2019)
Metadata
Title
Machine Learning-Based Rain Attenuation Prediction Model
Authors
Md Anoarul Islam
Manabendra Maiti
Pradip Kumar Ghosh
Judhajit Sanyal
Copyright Year
2021
Publisher
Springer Singapore
Book
Computers and Devices for Communication

Print ISBN: 978-981-15-8365-0

Electronic ISBN: 978-981-15-8366-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-8366-7_3