Wireless InSite® is a predictive tool for understanding wireless coverage, channel multipath, and data throughput for 5G, 6G, and WiFi networks. Through advanced and accelerated 3D ray-tracing and alternative fast ray-based methods and empirical models, it efficiently and accurately predicts multipath channel characteristics in indoor, urban, and rural environments. Dynamic scenario modeling for vehicles and pedestrians captures fading over time, while frequency sweeps incorporate broadband effects. Communications analysis capabilities apply MIMO algorithms to channel predictions to estimate coverage and throughput for wireless networks.
● Wireless Mobility: Create dynamic scenarios with moving vehicles, pedestrians, and handheld or mounted wireless systems. Simulate coverage, multipath, and shadowing as they move through a scene, and determine how their motion impacts wireless connectivity and performance.
● X3D Propagation Model: X3D is a 3D propagation model with no restrictions on geometry shape or transmitter/receiver height. This accurate model includes reflections, transmissions and diffractions along with atmospheric absorption and diffuse scattering. Supports frequencies up to 100 GHz.
● Antenna Modeling: Import measured antenna patterns, simulated antennas from XFdtd, or create textbook antennas for use in SISO, MIMO and Massive MIMO transmitter and receivers. Include frequency-specific pattern data to improve accuracy when using multiple bands or performing frequency sweeps.
● MIMO Beamforming & Spatial Multiplexing: Simulate MIMO antennas for 5G, WiFi and other technologies. Detailed multipath and mutual coupling effects are used with MIMO techniques such as beamforming, spatial multiplexing, and diversity to predict key channel metrics for one or more MIMO data streams.
● Communication Systems Analysis: Calculate SINR, throughput, theoretical capacity, and bit error rate (BER) to visualize and assess wireless device performance.
● Materials: Define electrical properties for buildings, terrain, vehicles, and other objects in the scene down to the facet level. The installed materials database includes metal, earth at various moisture levels, concrete, brick, wood, glass, etc. across a range of radio frequencies, including tabulated materials to support multiband analyses.
● Engineered Electromagnetic Surfaces (EES): Model an EES or single configuration of a metasurface-based Reconfigurable Intelligent Surface (RIS), and evaluate how it modifies the propagation environment to improve connectivity.
● Diffuse Scattering: Capture effects of scattering on complex impulse response and received power (including cross-polarization) for mmWave applications.
● Scene Geometry Import: Load vehicles, objects, and foliage in a variety of standard formats, including KMZ, Collada (DAE), STL, SHP, and DXF. Use Geospatial Data Abstraction Library to import terrain data, including lunar datasets.
● Geometry Caching: Wireless InSite’s X3D Propagation Model automatically caches processed geometry for later use, avoiding geometry processing time when multiple concurrent or subsequent jobs are run with the same geometry.
● Fast Ray-Based Methods: 2D site-specific propagation models designed for urban and long-range rough terrain applications.
● Empirical Propagation Models: Suite of empirical models designed for urban and indoor analysis.
● Outputs: Users have easy access to outputs including received power, propagation paths, and complex impulse responses. Results can be visualized within dynamic scenarios, plotted along routes or vs. frequency or time, and optionally exported to ASCII or Matlab formats for external post-processing.
Wireless InSite® is a predictive tool for understanding wireless coverage, channel multipath, and data throughput for 5G, 6G, and WiFi networks. Through advanced and accelerated 3D ray-tracing and alternative fast ray-based methods and empirical models, it efficiently and accurately predicts multipath channel characteristics in indoor, urban, and rural environments. Dynamic scenario modeling for vehicles and pedestrians captures fading over time, while frequency sweeps incorporate broadband effects. Communications analysis capabilities apply MIMO algorithms to channel predictions to estimate coverage and throughput for wireless networks.
● Wireless Mobility: Create dynamic scenarios with moving vehicles, pedestrians, and handheld or mounted wireless systems. Simulate coverage, multipath, and shadowing as they move through a scene, and determine how their motion impacts wireless connectivity and performance.
● X3D Propagation Model: X3D is a 3D propagation model with no restrictions on geometry shape or transmitter/receiver height. This accurate model includes reflections, transmissions and diffractions along with atmospheric absorption and diffuse scattering. Supports frequencies up to 100 GHz.
● Antenna Modeling: Import measured antenna patterns, simulated antennas from XFdtd, or create textbook antennas for use in SISO, MIMO and Massive MIMO transmitter and receivers. Include frequency-specific pattern data to improve accuracy when using multiple bands or performing frequency sweeps.
● MIMO Beamforming & Spatial Multiplexing: Simulate MIMO antennas for 5G, WiFi and other technologies. Detailed multipath and mutual coupling effects are used with MIMO techniques such as beamforming, spatial multiplexing, and diversity to predict key channel metrics for one or more MIMO data streams.
● Communication Systems Analysis: Calculate SINR, throughput, theoretical capacity, and bit error rate (BER) to visualize and assess wireless device performance.
● Materials: Define electrical properties for buildings, terrain, vehicles, and other objects in the scene down to the facet level. The installed materials database includes metal, earth at various moisture levels, concrete, brick, wood, glass, etc. across a range of radio frequencies, including tabulated materials to support multiband analyses.
● Engineered Electromagnetic Surfaces (EES): Model an EES or single configuration of a metasurface-based Reconfigurable Intelligent Surface (RIS), and evaluate how it modifies the propagation environment to improve connectivity.
● Diffuse Scattering: Capture effects of scattering on complex impulse response and received power (including cross-polarization) for mmWave applications.
● Scene Geometry Import: Load vehicles, objects, and foliage in a variety of standard formats, including KMZ, Collada (DAE), STL, SHP, and DXF. Use Geospatial Data Abstraction Library to import terrain data, including lunar datasets.
● Geometry Caching: Wireless InSite’s X3D Propagation Model automatically caches processed geometry for later use, avoiding geometry processing time when multiple concurrent or subsequent jobs are run with the same geometry.
● Fast Ray-Based Methods: 2D site-specific propagation models designed for urban and long-range rough terrain applications.
● Empirical Propagation Models: Suite of empirical models designed for urban and indoor analysis.
● Outputs: Users have easy access to outputs including received power, propagation paths, and complex impulse responses. Results can be visualized within dynamic scenarios, plotted along routes or vs. frequency or time, and optionally exported to ASCII or Matlab formats for external post-processing.
