[1] M V PERIC, D B PERIC, B M TODOROVIC et al. Dynamic rain attenuation model for millimeter wave network analysis. IEEE Transactions on Wireless Communications, 16, 441-450(2016).

[2] J S SHI, S L JONG, L H YIN. Characterization of rain attenuation statistics for 5G communication system in the equatorial region. International Journal of Advanced Trends in Computer Science and Engineering, 9, 157-162(2020).

[3] C KOUROGIORGAS, A D PANAGOPOULOS. A rain-attenuation stochastic dynamic model for LEO satellite systems above 10 GHz. IEEE Transactions on Vehicular Technology, 64, 829-834(2015).

[4] N DALIA, M ANIMESH. Study of rain attenuation effects for 5G MM-wave cellular communication in tropical location. IET Microwaves Antennas and Propagation, 12, 1504-1507(2018).

[5] Xiongwen ZHAO, Qi WANG, Suiyan GENG et al. Path loss modification and multi-user capacity analysis by dynamic rain models for 5G radio communications in millimetre waves. IET Communications, 13, 1488-1496(2019).

[6] L LUINI, A PANZERI, C RIVA. Enhancement of the synthetic storm technique for the prediction of rain attenuation time series at EHF. IEEE Transactions on Antennas and Propagation, 68, 5592-5601(2020).

[7] V ROY, S GISHKORI, G LEUS. Dynamic rainfall monitoring using microwave links. Journal on Advances in Signal Processing, 2016, 1-17(2016).

[8] T MASENG, P BAKKEN. A stochastic dynamic model of rain attenuation. IEEE Transactions on Communication, 29, 660-669(1981).

[9] J LEMORTON, L CASTANET, F LACOSTE et al. Development and validation of time-series synthesizers of rain attenuation for Ka-band and Q/V-band satellite communication systems. International Journal of Satellite Communications and Networking, 25, 575-601(2007).

[11] Bin XUE, Ningning TONG, Xin XU et al. Dynamical short-term prediction of rain attenuation in W band: a time-series model with simpler structure and higher accuracy. IEEE Antennas and Propagation Magazine, 61, 77-86(2019).

[12] J ARGOTA, I F ANITZINE. Attenuation time series synthesizer for dynamic prediction in millimeter wave frequency bands. International Journal of Electronics and Electrical Engineering, 8, 1-5(2020).

[13] Ruike YANG, Zhenwei ZHAO, Lei LI et al. Research on statistics and simulation of rain attenuation time series at microwave. Acta Electronica Sinica, 41, 2513-2517(2013).

[14] Shuhong GONG, Yifeng GAO, Houbao SHI et al. A practical MGA-ARIMA model for forecasting real-time dynamic rain-induced attenuation. Radio Science, 48, 208-225(2013).

[15] Ruike YANG, Lei LI, Zhenwei ZHAO et al. Simulation of rain attenuation time series by ARIMA model(2013).

[16] Ruike YANG, Tongya LU, Zhenwei ZHAO et al. Improvement on the microwave dynamic rain attenuation time series model. Journal of Xidian University, 82-86(2016).

[17] P ITU-R. 530-17. Propagation data and prediction methods required for the design of terrestrial line-of-sight systems(2017).

[18] F J A ANDRADE, L A R SILVA MELLO da. Rain attenuation time series synthesizer based on the gamma distribution. IEEE Antennas and Wireless Propagation Letters, 10, 1381-1384(2011).

[19] F LACOSTE, M BOUSQUET, F CORNET et al. Classical and on-demand rain attenuation time series synthesis: Principle and applications, 5325(2006).

[20] G CARRIE, F LACOSTE, L CASTANET. A new ‘event-on-demand’ synthesizer of rain attenuation time series at Ku-,Ka- and Q/V-bands. International Journal of Satellite Communications and Networking, 47-60(2011).