Abstract
In view of the difference of rain attenuation law between tropical climate and temperate climate, two rain attenuation prediction models based on inverse Gaussian distribution and Gamma distribution are proposed. In this paper, six representative regions of tropical and temperate climate are selected from around the world. The two models are applied to the terrestrial links of these regions and then compared with the ITU-R model based on the measured attenuation of corresponding regions. The simulation results show that the prediction capabilities of the proposed models in the tropical terrestrial links are better than the ITU-R model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pontes MS, Mello S, Willis MJ, Salamon S, Tjelta T, Castanet L (2012) Experimental data and testing procedures for modelling of propagation effects on terrestrial radio links from C to W bands. In: 2012 European conference on antennas and propagation (EUCAP), pp 86–90
Yu X, Zhao J, Feng J, Lei W (2015) Research on the Ku band rain attenuation estimation algorithm. In: 2015 IEEE international conference on computational intelligence and communication technology (CICT), pp 583–586
Wei L, Hu R, Qian Y, Wu G (2014) Key elements to enable millimeter wave communications for 5G wireless systems. IEEE Wirel Commun 21(6):136–143
Ignacio R, Cong N, Bundgaard S, Jan E, Åge H, Elgaard M, Benny V (2015) Analysis of 38 GHz mmWave propagation characteristics of urban scenarios. In: 21th European wireless conference, pp 374–381
Yeo J, Lee Y, Ong J (2014) Rain attenuation prediction model for satellite communications in tropical regions. IEEE Trans Antennas Propag 62(11):5775–5781
Manjunath R, Raju K (2015) An experimental analysis of impact of rainfall on microwave links. In: 2015 international conference on signal processing, informatics, communication and energy systems (SPICES). IEEE
Ulaganathen K, Tharek A, Islam M, Abdullah K (2015) Case study of rain attenuation at 26 GHz in tropical region (Malaysia) for terrestrial link. In: 12th IEEE Malaysia international conference on communications (MICC), pp 252–257
Daoud N, Christodoulou C, Murrell D, Tarasenko N, Hong E, Lane S (2017) Rain attenuation analysis at 84 GHz. In: 2017 IEEE international symposium on antennas and propagation and USNC/URSI national radio science meeting, pp 1629–1630
Rafiqul I, Altajjar M, Habib M, Abdullah K, Rashid M, Bashar K (2015) Frequency diversity improvement factor for rain fade mitigation in Malaysia. In: 2015 IEEE international WIE conference on electrical and computer engineering (WIECON-ECE), pp 159–163
Andrade F, Mello S, Pontes M (2012) Statistical modeling of rain attenuation in tropical terrestrial links. J Microwaves Optoelectron Electromagn Appl 11(2):296–303
Islam M, Tharek A, Chebil J (2000) Comparison between path length reduction factor models based on rain attenuation measurements in Malaysia. In: 2000 Asia-Pacific microwave conference (APMC). IEEE
Mello S, Costa E, Souza R (2002) Rain attenuation measurements at 15 and 18 GHz. Electron Lett 38(4):197–198
Kvicera V, Grabner M, Fiser O (2012) Frequency and path length scaling based on long-term statistics of rain attenuation on terrestrial paths at 38 GHz and 58 GHz. In: 6th European conference on antennas and propagation (EUCAP), pp 497–499
Develi I (2007) Differential evolution based prediction of rain attenuation over a LOS terrestrial link situated in the southern United Kingdom. Radio Sci 42(3):1–6
Dong Q (1993) Rain attenuation characteristics at 33.5, 72 and 93 GHz. Chinese Journal of Radio Science 8(3):52–58,94
ITU-R (2017) Acquisition, presentation and analysis of data in studies of radiowave propagation. In: Recommendation ITU-R P.311–17
ITU-R (2017) Propagation data and prediction methods required for the design of terrestrial line-of-sight systems. In: Recommendation ITU-R P.530–17
ITU-R (2005) Specific attenuation model for rain for use in prediction methods. In: Recommendation ITU-R P.838–3
Al-Hussaini E, Abd-El-Hakim N (1981) Bivariate inverse Gaussian distribution. Ann Inst Stat Math 33(1):57–66
Kourogiorgas C, Panagopoulos A (2013) New physical-mathematical model for predicting slant-path rain attenuation statistics based on inverse Gaussian distribution. IET Microwaves Antennas Propag 7(12):970–975
Thom H (1958) A note on the Gamma distribution. Mon Weather Rev 86(4):117–122
Ayoub R (1974) Euler and the Zeta function. Am Math Mon 81(10):1067–1086
ITU-R (2017) Probability distributions relevant to radiowave propagation modelling. In: Recommendation ITU-R P.1057–5
Acknowledgements
This work is supported by National Natural Science Foundation of China (61661018) and (619MS029); Hainan Provincial Natural Science Foundation High-level Talent Project (2019RC036) and (Hnky2019-8). Hui Li is the corresponding author.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, L., Li, H. (2021). Comparative Analysis of Rain Attenuation Prediction Models for Terrestrial Links in Different Climates. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_26
Download citation
DOI: https://doi.org/10.1007/978-981-15-8411-4_26
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8410-7
Online ISBN: 978-981-15-8411-4
eBook Packages: EngineeringEngineering (R0)