Statistical of rain rates for wireless channel communication in Surabaya

Abstract

This paper present an initial result of research on channel modeling of millimeter wave wireless channel in Indonesia considering the impact of rain rate of rainfall due to microwave attenuation, fading and wave polarization propagations millimeter in 30 GHz.. The channel model developed in time series (time domain) by assuming channel as a random variable. The rain data is based on retrieval result from Parsivel equipment with software ASDO recorded data in online manner. The statistical value of rain, i.e. mean, Varian, autocorrelation, and auto ovarian from rainfall is modeled. For goodness-of-fit test used Kolmogorov-Smirnov (K- S) test for continuous distributions and to generate long-term rain- rate model, the of Autoregressive (AR) method, Moving Average (MA), and Autoregressive Moving Average (ARMA) are applied on rainfall data measured in ITS Surabaya.