5G and MIMO Simulation

This article explores the effectiveness of massive MIMO beamforming at mitigating the challenges expected from using the expanse of spectrum available in the mmWave band.

This paper explores the application of machine learning for optimal deployment of 5G infrastructure, such as the position and the orientation of the antenna that help achieve the best signal coverage.

In this article, we demonstrate how XFdtd’s superposition and array optimization features simplify the process for understanding device performance by providing efficient validation of array coverage.

In this paper, we use modeling and simulation techniques to investigate critical challenges that Fixed Wireless Access (FWA) faces for operation in the physical environment at millimeter waves.

Wireless InSite’s ray-tracing was used to analyze signal propagation in a complex urban scenario. These coverage results highlight potential obstacles and solutions for deployment of mmWave for 5G.

This article describes the modeling of a SATCOM link, specifically the use case of using a satellite overlay to extend service continuity to IoT devices in a poorly covered rural area.

This presentation demonstrates a new predictive tool for simulating FD-MIMO in urban environments. We analyze predicted multipath and compare performance of beamforming techniques.

In this presentation, an example showcasing Wireless InSite's novel diffuse scattering technique is applied to an office environment at 73 GHz and is compared against measurements.

Brief introduction to Wireless InSite's 5G MIMO capabilities.

This collection of application examples demonstrates how REmcom's EM simulation software solves challenges related to 5G and MIMO.