5G and MIMO using Wireless InSite
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 simulates the detailed multipath of large numbers of MIMO channels while overcoming the increased level of computations required for traditional ray tracing methods.
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.
Massive MIMO Beamforming in Motion
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
|Application Example: 5G Massive MIMO Outdoor Communications Analysis
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.
|Simulation of Beamforming by Massive MIMO Antennas in Dense Urban Environments
This presentation demonstrates a new predictive capability for simulating massive MIMO antennas and beamforming in dense urban propagation environments.Predictions are shown for SINR at specific device locations and the actual physical beams, including unintentional distortions caused by pilot contamination.
|Wireless InSite Simulation of MIMO Antennas for 5G Telecommunications
Remcom’s Wireless InSite provides an efficient method to predict channel characteristics for large-array MIMO antennas in complex multipath environments. This presentation shows a 30 GHz Massive MIMO scenario in downtown Rosslyn, VA. Correlation between channels is shown in the Complex Impulse Response plot for two MIMO channels. This is a key requirement for MIMO spatial multiplexing gain.