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Get Started
The WinProp Getting Started Guide contains step-by-step instructions on how to get started with WinProp.
Indoor Cell-Phone Reception
This example considers the application of analyzing the indoor cell-phone reception, set in an urban environment.
Setting Up the Simulation in ProMan
Set up the propagation simulation parameters. Solve the hybrid urban/indoor database and inspect the indoor reception.
Using COST 231: Extended Walfisch-Ikegami Model
The hybrid urban/indoor database is solved using the COST 231 - extended Walfisch-Ikegami model.

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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.
  - Example Overview
    This example considers the application of analyzing cell phone reception inside a building, set in an urban environment. The urban environment includes buildings and vegetation.
  - 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 a hybrid urban/indoor geometry database in WallMan.
  - Setting Up the Simulation in ProMan
    Set up the propagation simulation parameters. Solve the hybrid urban/indoor database and inspect the indoor reception.
    - Launching ProMan
      Launch ProMan in Microsoft Windows using the Feko Launcher utility (which includes WinProp and newFASANT).
    - Creating a New Project
      Load the hybrid urban/indoor building database that was created in WallMan.
    - Defining the Antenna Site and Antennas
      For this example, a single antenna site with three antennas is defined.
    - Using the Dominant Path Model (DPM)
      The hybrid urban/indoor database is solved using the dominant path model.
    - Using COST 231: Extended Walfisch-Ikegami Model
      The hybrid urban/indoor 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 field strength results using the COST 231 - extended Walfisch-Ikegami model.
    - Final Remarks
      This example showed how to analyze the cell-phone reception in a building, to create the hybrid urban/indoor database using WallMan and to obtain coverage plots using ProMan.
- Base Stations in a City
  This example considers the application of analyzing base stations in a city, set in an urban environment.
- 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 hybrid urban/indoor 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.

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

In this case, the transmitter is not very high, so we expect lower accuracy. Also, any time the dominant path is not purely in the vertical plane, this method will under-estimate the received fields, but it will be faster in comparison to the dominant path model.