Utilizing Markov Transition Model to Accurately Predict Wideband Propagation Channel Parameters

The data rates required to support multimedia services over wireless communication systems is rapidly increasing. Mobile radio propagation channel characteristics play a very important role in assessing the performance of a wireless wideband communication system. The mean excess delay and RMS delay spread are the two main parameters that dominate wideband propagation characteristics. The wideband data were measured on the campus of National Taiwan University and a wideband propagation channel model, based on the Markov transition model, was proposed to understand the characteristics of wideband propagation. The approach is to characterize multipath channel using different states and to describe the multipath intensity profile associated with each state, using a modified near-far echoes model, whose parameters were extracted from the measured data. The statistical characteristics of the simulated wideband channel parameters closely match those of the measured data. The results of this study demonstrate that the proposed method has the potential for conveniently and efficiently predicting the wideband channel parameters of the wireless communication systems.