Rural Dominant Path Prediction Model

A fast and highly accurate Prediction Model for Rural Scenarios

Introduction

  
A detailed introduction to the prediction technique of the Dominant Path Model in general (urban, indoor and rural case) can be found here.

Overview

  
The RDP Model is a sub-model of the Dominant Path Prediction Model, which is adapted to predictions of rural scenarios or in areas where only pixel databases (topography and land usage) are available .

The path searching algorithm works in full 3D mode.

In addition to topographical databases (digital elevation), clutter databases (sometimes also called morpho databases) can be considered for the prediction.

Clutter and Morpho Databases

  
The Rural Dominant Path Model (RDP) is able to consider additionally clutter databases.

This means, that for each pixel in the prediction area different values for additional attenuations and heights can be defined. These parameters can be considered during the path searching and in the computation of the path loss values.

Several modes for the consideration of the clutter properties are available, so the user can choose in which way clutter properties will influence the prediction.

Sample Predictions

  
RDP can also handle very large scenarios as shown in the following table. The computations were obtained on an AMD Athlon64 2800+ with 1024 MB RAM.

Area of Albis (Switzerland)
61 kmē, 100.000 pixels
Complete Grand Canyon (USA)
17.000 kmē, 2.600.000 pixels
Are of Stuttgart (Germany)
900 kmē, 2.200.000 pixels

 

Download a document with a comparison of RDP predictions to measurements.

Download the introduction to the Rural Dominant Path Model.
See a comparison between different rural prediction models.
Read more about how the Dominant Path Model works.
Read more about the Indoor Dominant Path Model.
Read more about the Urban Dominant Path Model.

 

 

 

Settings for the Dominant Path Model (click here to enlarge).

 

Combined Network Planning

 

This mode is a combination of the two sub-models UDP and IDP. It makes it possible to combine urban predictions with the predictions in buildings considering all types of walls inside the buildings.

Urban Dominant Path Model

 

For urban scenarios, this sub-model is used. Not only urban building-databases are considered, but the topographical is also consulted for computation. For the prediction two path-searching algorithms exist: 2D and 3D. Waveguiding effects of street canyons help to achieve most accurate results.

 Indoor Dominant Path Model

 

Using indoor scenarios, this sub-model is considered. Two prediction-modes are available, 2D and a full 3D mode. Transmissions through walls are also taken into account, as well as special waveguiding effects which lead to very accurate results.