Gaussian Random Fields as a Model for Spatially Correlated Log-Normal Fading


D. Catrein, R. Mathar,


        Slow fading or shadowing on a wireless channel is commonly modeled by stochastically independent, log-normally distributed random variables. However, as slow fading is caused by buildings and large size obstacles, spatial correlations occur. In this paper, Gaussian random fields are used as a model for correlated slow fading in urban environments. An exponential correlation function is employed. The according parameters are estimated from path gain predictions by an accurate rayoptical propagation algorithm, named CORLA. Furthermore, a multidimensional model is suggested to describe correlated shadowing of the path gains from different base stations to a single receiver.

BibTEX Reference Entry 

	author = {Daniel Catrein and Rudolf Mathar},
	title = "{G}aussian Random Fields as a Model for Spatially Correlated Log-Normal Fading",
	booktitle = "Proceedings: Australasian Telecommunication Networks and Applications Conference (ATNAC)",
	address = {Adelaide, Australia},
	month = Dec,
	year = 2008,
	hsb = RWTH-CONV-223587,


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