WinProp plug-in for Aircom ENTERPRISE

Waveguiding in street canyons in urban areas

The Dominant Path Model allows the consideration of waveguiding effects in street canyons, if vector building data is available. The following picture shows these effects in a dense urban environment.

Waveguiding in urban environment

Realistic consideration of clutter data

Traditionally for each clutter class a specific loss is defined. WinProp allows also the definition of height and clearance (separation) for each clutter class. Additionally heights and clearances of clutter classes can be distributed statistically to make it more realistic. The following scheme shows both cases, the approach with fixed height/clearance and the approach with the statistical distribution (defined by std. dev.).

Comparison of both approaches

An example of a prediction based on statistically distributed clutter properties can be found here.

Indoor coverage based on propagation model

The shape of the vector buildings is considered for penetration into buildings, thus the indoor signal level depends on type, shape and location of building. In contrast to other simple approaches, this leads to a realistic distribution of the field inside the buildings.

Indoor prediction with prediction model

Highly accurate results

Comparisons between propagation predictions and CW measurements have been made to evaluate the accuracy of the model. The std. dev. between predictions and measurements is below 7 dB, the mean value is between -3 and +3 dB. The following list shows some well known cities where measurements have been conducted for the evaluation:

• Canada: Toronto

• China: Hong Kong

• Finland: Helsinki

• Germany: Cologne, Munich, Stuttgart

• Indonesia: Jakarta

• Ireland: Dublin

• Italy: Lucca, Pisa

• Japan: Tokyo

• Monaco: Monte Carlo

• Poland: Warsaw

• Spain: Barcelona

• Turkey: Istanbul

• Uruguay: Montevideo

• USA: New York City, Schaumburg

Short prediction times

The prediction time of the WinProp plug-in is in the range of empirical models. The following table shows some prediction times on a standard PC (2 GHz CPU, 2 GB RAM). The scenario used for the evaluation is a dense urban environment with resolution of 10 meter.

Presentation with further information.

Brochure about rural propagation models

Brochure about urban propagation models

Flyer with further information.

The features of the WinProp plug-in.

Go back to the main page of the urban WinProp plug-in.