2024.1
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).
Propagation models differ based on their assumptions, prediction accuracy and computational resources. Select an appropriate propagation model for the application.
See what's new in the latest release.
The WinProp Getting Started Guide contains step-by-step instructions on how to get started with WinProp.
The Altair installation directory contains a collection of examples that shows you WinProp concepts and essentials.
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.
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.
The WallMan component offers a convenient facility to generate and edit vector building databases.
The TuMan tool enables you to generate and modify tunnel scenarios.
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.
The ProMan component includes wave propagation models for different scenarios and network planning simulators for various air interfaces.
Different models for macro-cellular prediction exist with differing accuracy and computational resource requirements.
Radio transmission in urban environments is subject to strong multipath propagation. Characterization of the multipath propagation is performed by means of several empirical models.
An appropriate database for the propagation model considered is important for accurate prediction data.
The empirical COST-Walfisch-Ikegami model considers only vertical plane propagation for faster prediction. Accuracy is reduced but is acceptable in specific scenarios described.
Knowing the terminology and concepts of ray-optical methods aids the selection of an appropriate ray-optical technique regarding accuracy and prediction time.
Characterize the ray types based on the expected path loss.
Mathematical background and equations show how WinProp calculates the contribution to the prediction for each ray.
Ray-optical propagation models consider a maximum number of reflections and diffractions. Use a hybrid approach combining empirical prediction with ray-optical prediction.
Obtain coverage inside buildings for the planning of mobile radio networks using different models for indoor coverage prediction.
The terrain profile should be considered for propagation modeling when the considered urban area is not flat. Include terrain information in preprocessing and prediction.
In WinProp various air interfaces and applications are pre-defined: broadcasting, cellular, wireless access, WiFi, sensor networks, ICNIRP and EM compliance.
The WinProp utilities consist of the Launcher utility and the Updater.
Reference information is provided in the appendix.
