COST 231 Walfisch-Ikegami Model

A fast empirical Prediction Model for Urban Scenarios

Introduction


This empirical model is a combination of the models of J. Walfisch and F. Ikegami. It was enhanced by the COST 231 project. The new name is therefore COST-Walfisch-Ikegami Model.


The model considers the buildings in the vertical plane between the transmitter and the receiver. Street widths, buildings heights as well as transmitter and receiver heights are considered.

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Propagation scenario with the
COST 231 Walfisch-Ikegami Model.

The accuracy of this empirical model is quite high because in urban environments the propagation in the vertical plane and over the rooftops (multiple diffractions) is dominating. Especially if the transmitters are mounted above roof top levels.

If the wave guiding effects due to multiple reflections in streets are dominating, the accuracy of the COST Walfisch-Ikegami model is limited - because it is focused on the multiple diffractions in the vertcial plane.

Parameters


The general parameters of the model are:

  • Frequency f (800...2000 MHz)

  • Height of the transmitter hTX (4...50 m)

  • Height of the receiver hRX (1...3 m)

  • Distance d between transmitter and receiver (20...5000 m)

Parameters depending on the buildings:

  • Mean value of building heights hROOF

  • Mean value of widths of streets w

  • Mean value of building separation b  

The classical COST Walfisch-Ikegami model determines the mean street width, mean building height, mean  building separation for the whole building database (i.e. the whole cell area).


But of course a city is not homogenous, e.g. in some regions the buildings are taller compared to other areas.
WinProp increases the accuracy of the model because the three parameters depending on the buildings (street width, building heights, building separation) are not identical for all locations in the cell. They are actually analyzed individually for each receiver pixel based on the actual buildings in the vertical plane between Tx and Rx.

 

Brochure with urban  propagation models.

See a comparison between different urban prediction models.

Read more about urban prediction models

Read more about urban databases

Read more about the  COST 231 Project

 

 

 


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The figure shows the parameters, considered in the computation.