5G and MIMO Simulation Software

With a tremendous increase in the number of connected devices and mobile data demand predicted over the next decade, the wireless communications industry is exploring new technologies to accommodate 5G wireless data systems, including MIMO (multiple input multiple output) technology. 

With Massive MIMO, large antenna arrays are able to provide data streams to multiple users within the same frequency band in a small cell.  In an urban environment, signals can travel over many paths; this multipath causes the channel characteristics across an array of antennas to be extremely complex, particularly with devices in motion.  Simulating these effects is critical for predicting MIMO system performance.

Remcom offers a unique ray tracing capability for simulating MIMO antennas for 5G, WiFi, and other applications relevant to today's rapidly advancing technologies.  The MIMO version of Wireless InSite simulates the detailed multipath of large numbers of MIMO channels while overcoming the increased level of computations required for traditional ray tracing methods.

In addition, XFdtd enables in-depth analysis of a device's stand-alone performance, with 5G device design features that support high frequency array antennas. Together, XFdtd and Wireless InSite ensure a device will work well in 5G-enabled systems.

Read more about XF's and Wireless InSite's complementary features for 5G MIMO and array design.

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MIMO Capabilities in Wireless InSite

Wireless InSite’s MIMO capability makes it possible to predict accurate path data between each transmitting and receiving element with precision and reveals key channel characteristics in a timely manner.  With optimizations that minimize runtime and memory constraints, Wireless InSite is able to efficiently simulate even the large arrays present in Massive MIMO systems.

Wireless InSite’s MIMO array builder gives users the ability to create 1D, 2D, and 3D antenna arrays. Users have control over every aspect of their model and can define unique antenna patterns and orientations for each element. All data is accessible, allowing results to be visualized within the context of the scene, as a 2D plot, or exported to a file. Post-processing options include received power, complex channel matrix or H-matrix, complex impulse response, times of arrival, directions of arrival, and directions of departure for multipath.

Wireless InSite simulation of a Massive MIMO base station in Rosslyn, VA

Peak throughput for 64x2 MIMO using closed loop spatial multiplexing

Massive MIMO Beamforming in Motion

Potential FD-MIMO Beamforming Improvement to Throughput

Remcom performed a study using Wireless InSite's MIMO capability to generate the complex channel matrix, or H-matrix, for each of several mobile devices in an urban scene. We then applied Maximum Ratio Transmission (MRT) and Zero Forcing (ZF) beamforming algorithms to the H-matrices to visualize beamforming in motion. These animations show the beam formed from a massive MIMO base station (green dot) to a mobile device moving along a route (large red dot), in the presence of 15 other stationary devices (red circles). MRT maximizes the beam to the intended device, while ZF beamforming attempts to also minimize the interference to the other devices.

Maximum Ratio Transmission Beamforming using Wireless InSite


Zero Forcing Beamforming using Wireless InSite



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