Home
Get Started
The WinProp Getting Started Guide contains step-by-step instructions on how to get started with WinProp.
Base Stations in a City
This example considers the application of analyzing base stations in a city, set in an urban environment.
Setting Up the Simulation in ProMan
Set up the propagation simulation parameters. Solve the urban database and inspect the coverage plots.
Using COST 231: Extended Walfisch-Ikegami Model
The urban database is solved using the COST 231 - extended Walfisch-Ikegami model.

Welcome
Release Notes
See what's new in the latest release.
Get Started
The WinProp Getting Started Guide contains step-by-step instructions on how to get started with WinProp.
- Wi-Fi Router in a Building
  This example considers the application of analyzing a Wi-Fi router in a building.
- Indoor Cell-Phone Reception
  This example considers the application of analyzing the indoor cell-phone reception, set in an urban environment.
- Base Stations in a City
  This example considers the application of analyzing base stations in a city, set in an urban environment.
  - Example Overview
    This example considers the application of analyzing base stations in a city.
  - Topics Discussed in Example
    Before starting this example, check if the topics discussed in this example are relevant to the intended application and experience level.
  - Example Prerequisites
    Before starting this example, ensure that the system satisfies the minimum requirements.
  - Exporting the Antenna Pattern in Feko
    An antenna pattern is exported to a .ffe file using POSTFEKO.
  - Creating the Geometry Database in WallMan
    Create an urban geometry database in WallMan.
  - Setting Up the Simulation in ProMan
    Set up the propagation simulation parameters. Solve the urban database and inspect the coverage plots.
    - Launching ProMan
      Launch ProMan in Microsoft Windows using the Feko Launcher utility (which includes WinProp and newFASANT).
    - Creating a New Project
      Load the urban geometry database that was created in WallMan.
    - Verifying All Building Heights
      Verify that all building heights are correct.
    - Determining Building Height for Antenna Placement
      In an urban scenario, antennas are usually placed at the top of a building. When defining an antenna site, you require the height of the building to ensure that the antenna is placed above the building not inside.
    - Defining the First Antenna Site and Antennas
      Define the first antenna site with three antennas.
    - Defining the Second Antenna Site and Antennas
      Define the second antenna site with three antennas.
    - Using the Dominant Path Model (DPM)
      The urban database is solved using the dominant path model.
    - Using COST 231: Extended Walfisch-Ikegami Model
      The urban database is solved using the COST 231 - extended Walfisch-Ikegami model.
      - Specifying the Output Folder for the Prediction Results
        Specify the folder for the prediction results to be computed using the COST 231 - extended Walfisch-Ikegami model.
      - Specifying the Computation Method
        Select the COST 231 - extended Walfisch-Ikegami model as computation method.
      - Launching the Solver
        Compute the propagation for all antennas to obtain the prediction results.
      - Viewing the Prediction Results
        Display the power results using the COST 231 - extended Walfisch-Ikegami model.
  - Final Remarks
    This example showed how to analyze base stations in a city, to create the urban database using WallMan and to obtain coverage plots using ProMan.
- Base Stations on Hills Near a City
  This example considers the application of analyzing base stations on hills near a city, set in a rural or suburban hilly terrain.
- Network Planning
  This example considers the application of analyzing three base stations, set in a building. The network planning simulation is based on a pre-defined air interface file.
Examples
The Altair installation directory contains a collection of examples that shows you WinProp concepts and essentials.
Introduction to WinProp
WinProp is a complete suite of tools in the domain of wireless propagation and radio network planning. With applications ranging from satellite to terrestrial, from rural via urban to indoor radio links, WinProp’s innovative wave propagation models combine accuracy with short computation time.
Typical Workflow in WinProp
View the typical workflows when working with propagation simulations in specific scenarios, how to add a network planning to a propagation simulation, include a receiver pattern, set up a time-variant scenario, include multiple-input multiple-output (MIMO) at both the base station and the mobile station, connectivity analysis of sensor networks and optimization.
WallMan
The WallMan component offers a convenient facility to generate and edit vector building databases.
TuMan
The TuMan tool enables you to generate and modify tunnel scenarios.
AMan
Use AMan to generate, edit and analyze a single antenna. Superimpose multiple antennas radiating similar signals to determine the actual antenna pattern while taking into consideration the local environment.
ProMan
The ProMan component includes wave propagation models for different scenarios and network planning simulators for various air interfaces.
Methods
WinProp includes empirical and semi-empirical models (calibration with measurements possible), rigorous 3D ray-tracing models as well as the unique dominant path model (DPM).
Main Applications
In WinProp various air interfaces and applications are pre-defined: broadcasting, cellular, wireless access, WiFi, sensor networks, ICNIRP and EM compliance.
WinProp Utilities
The WinProp utilities consist of the Launcher utility and the Updater.
Appendix
Reference information is provided in the appendix.

Using COST 231: Extended Walfisch-Ikegami Model

The urban database is solved using the COST 231 - extended Walfisch-Ikegami model.

This method is suited for high transmitters in urban scenarios when the dominant path is expected to be in the vertical plane over rooftops, followed by diffraction down into the street.

Figure 1. Urban propagation scenario using the COST 231 Walfisch-Ikegami Model.

A wave that is guided along a street between buildings would not be included. Simulations using COST 231 - extended Walfisch-Ikegami model tends to be fast.