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 (KS) 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.

Original languageEnglish
Title of host publication5th IEEE and IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2008
DOIs
Publication statusPublished - 2008
Event5th IEEE and IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2008 - Surabaya, Indonesia
Duration: 5 May 20087 May 2008

Publication series

Name5th IEEE and IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2008

Conference

Conference5th IEEE and IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2008
Country/TerritoryIndonesia
CitySurabaya
Period5/05/087/05/08

Keywords

  • And autoregressive moving average
  • Autoregressive
  • Moving average

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