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Attenuation Time Series Synthesizer for Dynamic Prediction in Millimeter Wave Frequency Bands

Juan Antonio Romo Argota and Ignacio Fernández Anitzine
Department of Communication Engineering, University of the Basque Country UPV-EHU, Bilbao, Spain
Abstract—Radio communication systems using millimeter wave (mmWave) are not only an essential component in the fixed traditional services, but also a key element which is highly needed in future 5G radio access mobile networks. Although hydrometeors attenuation is the most influential factor related to the total propagation losses at frequencies above 10 GHz, increasing rapidly at higher frequencies, several additional effects should not be ignored in the design of mmWare communication systems. The aim of this work is to generate a time series that reproduces the spectral characteristics of propagation impairment events. The performance of the developed time series method for propagation channel is checked against satellite beacon measurements.

Index Terms—millimeter wave communication, prediction models, fifth generation (5G), beacon satellite measurements, statistical analysis

Cite: Juan Antonio Romo Argota and Ignacio Fernández Anitzine, "Attenuation Time Series Synthesizer for Dynamic Prediction in Millimeter Wave Frequency Bands," International Journal of Electronics and Electrical Engineering, Vol. 8, No. 1, pp. 1-5, March 2020. doi: 10.18178/ijeee.8.1.1-5

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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