TY - JOUR
T1 - ARIMA modeling of tropical rain attenuation on a short 28-GHz terrestrial link
AU - Mauludiyanto, A.
AU - Hendrantoro, G.
AU - Purnomo, M. H.
AU - Ramadhany, T.
AU - Matsushima, A.
N1 - Funding Information:
Manuscript received January 25, 2010; revised March 03, 2010; accepted March 11, 2010. Date of publication March 22, 2010; date of current version April 08, 2010. This work was supported by the Indonesian Ministry of National Education through the 2009 Doctoral Research and “Hibah Kompetensi” grants. The doctoral study of A. Mauludiyanto was supported by a BU scholarship from the Ministry of National Education.
PY - 2010
Y1 - 2010
N2 - This letter reports the result of modeling of the tropical rain attenuation at 28 GHz adopting the auto-regressive integrated moving average (ARIMA) model. The result obtained is useful for the evaluation of transmission system design in radio communications at millimeter-wave frequencies in tropical areas. In this research, radio power measurement on a 56.4-m link at 28 GHz was carried out in Surabaya, Indonesia, with a data acquisition system that recorded a sample once every second. Approximation of the data by ARIMA(p, d, q) models for every rain event was carried out in order to obtain a valid time series model. In the validation, comparisons were made of the distributions of attenuation from the models against those from direct measurement of attenuation and from estimation based on the synthetic storm method. Comparisons were also made of the attenuation slope distributions against that from the measurement. Each of rain attenuation time series obtained from events in February 2009 was found to be well approached by the ARIMA model with various sets of parameters (p, d, q). The best model was found to be ARIMA (0, 1, 1) , as indicated by the Akaike Information Criteria (AIC) and Schwarz Bayesian Criteria (SBC) test results. A procedure for generating rain events based on the model is presented.
AB - This letter reports the result of modeling of the tropical rain attenuation at 28 GHz adopting the auto-regressive integrated moving average (ARIMA) model. The result obtained is useful for the evaluation of transmission system design in radio communications at millimeter-wave frequencies in tropical areas. In this research, radio power measurement on a 56.4-m link at 28 GHz was carried out in Surabaya, Indonesia, with a data acquisition system that recorded a sample once every second. Approximation of the data by ARIMA(p, d, q) models for every rain event was carried out in order to obtain a valid time series model. In the validation, comparisons were made of the distributions of attenuation from the models against those from direct measurement of attenuation and from estimation based on the synthetic storm method. Comparisons were also made of the attenuation slope distributions against that from the measurement. Each of rain attenuation time series obtained from events in February 2009 was found to be well approached by the ARIMA model with various sets of parameters (p, d, q). The best model was found to be ARIMA (0, 1, 1) , as indicated by the Akaike Information Criteria (AIC) and Schwarz Bayesian Criteria (SBC) test results. A procedure for generating rain events based on the model is presented.
KW - Auto-regressive integrated moving average (ARIMA) model
KW - Millimeter-wave
KW - Rain attenuation
KW - Terrestial radio
UR - http://www.scopus.com/inward/record.url?scp=77951003523&partnerID=8YFLogxK
U2 - 10.1109/LAWP.2010.2046130
DO - 10.1109/LAWP.2010.2046130
M3 - Article
AN - SCOPUS:77951003523
SN - 1536-1225
VL - 9
SP - 223
EP - 227
JO - IEEE Antennas and Wireless Propagation Letters
JF - IEEE Antennas and Wireless Propagation Letters
M1 - 5437269
ER -