Propagation Path-Loss Prediction Model for 4G Mobile Communication Systems
نویسنده
چکیده
A Statistical-Sakagami model is proposed by using multiple regression formula for path loss prediction in urban and sub urban area. It is assumed that the three main parameters: hB, W and α are not deterministic variables like those in theory propagation models, but statistical variables, and all the three parameters are varying at the same time in the simulation. The performance of the formula is studied by simulating the probability density functions, cumulative distribution functions, level cross rate and average fade duration. It proposed formula can predict the path loss in urban and suburban areas, and the frequency band is from 0.8GHz to 8GHz, more suitable for the Fourth Generation (4G) Mobile Communication Systems. However, it is not appropriate to apply the multiple regression formula in every urban and suburban area, because the average rooftop level ‘hB’, the road width W and the road angle ‘α’ may be different. The statistical approach can solve above problem, let the formula be used in different areas, but only one parameter is variable in each simulation. KeywordsNakagami distribution, Statistical-Sakagami model, Average fade duration, fading statistics, level crossing rate.
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