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FIGURE 11.14(c). The same as in Fig. 11.14a, but circles indicate results of calculations by use of three-time diffraction knife-edge model.

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same formulas, and nally for points #5, #9 and #16 we used the triple diffraction model based on the empirical approach described in Reference [17] based on the same Lee s knife-edge model. From all the gures presented, it is clear that the performance of the present stochastic model (with accuracy of 1 3 dB) is satisfactory as long as the receiver antenna height does not decrease to the extent that it is placed in the local shadow zone in the vicinity of high obstructing buildings. In such regions, the knife-edge diffraction models are better predictors for the signal attenuation. 11.1.6. Advantages and Limitations of 3D Stochasic MultiParametric Approach First, let us consider the advantages of the proposed stochastic model. As was mentioned in References [19 25], the proposed 3D multiparametric model is the stochastic approach that combines the statistical description of the terrain and the built-up overlay with a description of the signal intensity according to (5.94) to (5.99), taking into account the effects of various obstructions according to their vertical and horizontal geometrical parameter distributions. Figure 11.15a is a 2D cross-sectional view of a 3D urban relief pro le, with buildings indicated by black blocks. The positions of the antennas are shown as well. The purpose of Figure 11.15 is to explain the physical motivation for the de nition of

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