Volume 13, Issue 9
Modeling And Simulation of Rain Attenuation Effect on Microwave Propagation
Author
1*F. U. Didigwu, 2R. O. Okeke
Abstract
Abstract:
Rain attenuation poses a significant challenge to satellite communication networks, resulting in signal degradation, increased path loss, and reduced coverage, particularly in tropical regions and at frequencies above 10 GHz. This study examines average rain-induced attenuation and rainfall data for microwave links operating at 11 GHz, 13 GHz, 14 GHz, 18 GHz, and 23 GHz, with a rainfall rate of 50 mm/h, over a terrestrial link in Port Harcourt, Rivers State, Nigeria. The city's terrain, encompassing urban, suburban, and rural environments, serves as a representative model for broader applications across Nigeria. Situated in the coastal region, Port Harcourt experiences annual rainfall ranging from 2000 mm to 2400 mm. Satellite communication is frequently hindered by persistent rain attenuation, occasionally leading to outages lasting minutes, hours, or even days. Data for this analysis were sourced from the Nigerian Meteorological Agency (NIMET), and also the International Telecommunication Union's Radio-wave Propagation (ITU-R P.618-13) model was employed to estimate long-term rain attenuation for these frequency bands. Python and Excel software were used for data analysis and simulation. The results obtained show that higher frequencies experience greater attenuation. As the frequency increases, the rain attenuation also increases significantly. At any given percentage, attenuation increases with frequency. At 0.001%, 23 GHz has the steepest curve due to its higher attenuation value of 57.63 dB. Lower frequencies have relatively flatter curves, representing reduced attenuation. This helps to clearly show the trend at very small percentages of time. Attenuation decreases rapidly as the percentage of time exceeds increases. Also, the analysis revealed significant attenuation from June to September, coinciding with the peak rainfall period in the region. This study underscores the substantial impact of rain fade on signal attenuation at higher frequencies in Port Harcourt. The findings provide critical insights for satellite communication engineers to optimize the planning and design of microwave links in the region throughout the year.
Reference:
- Ulaganathen, K.; Rahman, T.B.A.; Islam, M.R.; Abdullah, K. (2020). Rain attenuation for 5G network in tropical region (Malaysia) for terrestrial link. Prog. Electromagn. Res. Lett., 90, 99–104. https://doi.org/10.1109/MICC.2017.8311727.
- Ekpe, U.M.; Umoh, V.B.; Agbeb, N.S. (2021). Eliminating the digital divide in Nigeria: Policy direction and 5G deployment methodology. In Proceedings of the 2021 1st International Conference on Multidisciplinary Engineering and Applied Science (IC-MEAS), Abuja, Nigeria, 15–16 July 2021. https://doi.org/10.1109/ICMEAS52683.2021.9692399.
- Sowande, O.; Idachaba, F.; Ekpo, S.; Faruk, N.; Uko, M.; Ogunmodimu, O. (2022). Sub-6 GHz, 5G spectrum for satellite-cellular convergence broadband internet access in Nigeria. Int. Rev. Aerosp. Eng., 15(2). https://doi.org/10.15866/irease.v15i2.20240.
- Huang, J.; Cao, Y.; Raimundo, X.; Cheema, A.; Salous, S. (2019). Rain statistics investigation and rain attenuation modeling for millimeter wave short-range fixed links. IEEE Access, 7, 156110–156120. https://doi.org/10.1109/ACCESS.2019.2949437.
- Isabona, J.; Kehinde, R.; Imoize, A.L.; Ojo, S.; Faruk, N. (2022). Large-scale signal attenuation and shadow fading measurement and modeling for efficient wireless network design and management. In Proceedings of the 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), Lagos, Nigeria, 5–7 April 2022, pp. 1–5.
- Isabona, J.; Imoize, A.L.; Rawat, P.; Jamal, S.S.; Pant, B.; Ojo, S.; Hinga, S.K. (2022). Realistic prognostic modeling of specific attenuation due to rain at microwave frequency for tropical climate region. Wireless Communication and Mobile Computing, 2022, 8209256. https://doi.org/10.1155/2022/8209256.
- Ogbonna, D.N.; Amangabara, G.T.; Ekere, T.O. (2007). Urban solid waste generation in Port Harcourt Metropolis and its implications for waste management. Management of Environmental Quality: An International Journal, 18(1).
- Oyegun, C.U. (1999). Geology of Port Harcourt. In Oyegun, C.U., and Adeyemo, A. (Eds.), Port Harcourt Region. Paragraphics, Port Harcourt.
- Obiyemi, O.O.; Ojo, J.S.; Ibiyemi, T.S. (2014). Performance analysis of rain rate models for microwave propagation designs over tropical climate. Prog. Electromagn. Res. M, 39, 115–122. https://doi.org/10.2528/PIERM14083003.
- Budalal, A.A.; Shayea, I.; Islam, M.R.; Azmi, M.H.; Mohamad, H.; Saad, S.A.; Daradkeh, Y.I. (2022). Millimeter-wave propagation channel based on NYUSIM channel model with consideration of rain fade in tropical climates. IEEE Access, 10, 1990–2005. https://doi.org/10.1109/ACCESS.2021.3135382.
- Seah, S.J.; Jong, S.L.; Lam, H.Y.; Din, J. (2022). Rain fade margin of terrestrial line-of-sight (LOS) links for 5G networks in Peninsular Malaysia. Int. J. Microwave Wireless Technol., 14, 750–760. https://doi.org/10.1017/S1759078721000751.
- Han, C.; Bi, Y.; Duan, S.; Lu, G. (2019). Rain rate retrieval test from 25-GHz, 28-Hz, and 38-GHz millimeter-wave link measurement in Beijing. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 12, 2835–2847. https://doi.org/10.1109/JSTARS.2019.2918507.
- Nabangala, M.; Africa, S. (2018). Rainfall attenuation prediction model for dynamic rain fade mitigation technique considering millimeter-wave communication. ResearchSpace. Available online: https://researchspace.ukzn.ac.za/xmlui/handle/10413/17179 (accessed on 15 September 2022).
- Olurotimi, E.O. (2021). Estimation of cloud attenuation over some coastal cities for satellite space links in South Africa. J. Phys. Conf. Ser., 1874, 12011. https://doi.org/10.1088/1742-6596/1874/1/012011.
- Ferdowsi, A.; Whitefield, D. (2021). Deep learning for rain fade prediction in satellite communications. In Proceedings of the 2021 IEEE GLOBECOM Workshops (GC Workshops), Madrid, Spain, 7–11 December 2021, pp. 1–6. https://doi.org/10.1109/GCWkshps52748.2021.9682090.
- Kamoru, K.; Kolawole, K.K.; Mayowa, O.; Theophilus, E. (2021). Development of rain attenuation prediction in southwest Nigeria on terrestrial link using artificial neural networks. Int. J. Commun. Inf. Technol., 2, 33–39. Available online: https://www.computterscience-journals.com/ijcit/article/31/3-1-1-298.pdf (accessed on 5 August 2022).
- Islam, M.A.; Maiti, M.; Ghosh, P.K.; Sanyal, J. (2021). Machine learning-based rain attenuation prediction model. Lect. Notes Netw. Syst., 147, 15–22. https://doi.org/10.1007/978-981-15-8366-7_3.
- Aderinto, S. (2018). The new automated meteorological observation at four major airports in Nigeria. Meteorological Data and Calculations, pp. 1–14.
- Dissanayake, A.; Allnutt, J.; Haidara, F. (1997). A prediction model that combines rain attenuation and other propagation impairments along earth-satellite paths. IEEE Trans. Antennas Propag., 45(10), 1546–1558.
DOI
https://doi.org/10.62226/ijarst2024132517
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1*F. U. Didigwu, 2R. O. Okeke | Modeling And Simulation of Rain Attenuation Effect on Microwave Propagation | DOI : https://doi.org/10.62226/ijarst2024132517