5G Urban Small-Cell Analysis 

Webinars

This webinar demonstrates Wireless InSite’s MIMO simulation and Massive MIMO antenna design capabilities to predict the multipath and channel characteristics for a Massive MIMO system in an urban small cell. Different beamforming techniques are applied to the simulation results in order to predict the beams to several mobile devices and observe how they change as one device moves along a route through the city.

Webinars

Millimeter wave bands create new opportunities for 5G, but they also introduce challenges for planning and performance. In this webinar, we use Wireless InSite MIMO to simulate FD-MIMO systems and review some of the real-world challenges that beamforming systems face in their attempts to gather accurate channel state information that is critical to their success.

Application Examples

This example demonstrates how a custom beamforming table can be used to model downlink data rates from three MIMO base stations for 5G New Radio in a section of Boston.

Application Examples

In this example the signal transmission between a massive MIMO base station and a mobile device located in downtown Rosslyn is analyzed using Wireless InSite’s MIMO capability.

Videos

This demonstration shows how Wireless InSite meets 3GPP and METIS channel modeling requirements for 5G.

Videos

Penn State University is located in State College, Pennsylvania, a suburban city that contains several LTE sites. This simulation shows the coverage prediction from its existing LTE sites in the downtown area.

Videos

Remcom performed a study using Wireless InSite's MIMO capability to generate the complex channel matrices for several mobile devices in an urban scene. We then extracted these results and applied two standard beamforming algorithms (using mathematical analysis tools) to visualize beamforming in motion.

Publications

Download examples that demonstrate how EM simulation software solves challenges related to 5G and MIMO. Examples include MIMO and array design, 5G urban small cells, mmWave and beamforming.

Publications

This presentation demonstrates a predictive capability for simulating massive MIMO antennas and beamforming in dense urban propagation environments. Remcom's unique approach allows us to predict the signal-to-interference-plus-noise ratio (SINR) at specific device locations and the actual physical beams formed using these techniques, including unintentional distortions caused by pilot contamination.

Publications

This presentation demonstrates a new predictive tool for simulating Full Dimension Multiple Input, Multiple Output (FD-MIMO) in urban environments. We evaluate a hypothetical small cell base station employing FD-MIMO for cases using different numbers of transmit antennas, then analyze predicted multipath in the environment and compare performance of beamforming techniques for each of the simulated cases.