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Abstract
The present work describes the use of a simulation model based on asymptotic methods (ray tracing) on the propagation of ultra-wideband radio signals in a densely-arborized urban channel. The model was previously validated and adjusted using data obtained from measurement campaigns in the millimeter-wave band in locations different from the one to be analyzed here. The simulation uses deterministic methods to predict the received power, cross-polar discrimination, root mean square delay spread, and mean delay in a channel with a high density of scatterers (trees, buildings, and poles). Simulated signals were transmitted in the vertical and horizontal polarizations, considering non-specular reflections caused by rough surfaces and the effect of the transmitter’s height variation in outdoor channels.
Highlights
The recent literature on millimeter-wave wireless channels is relatively limited
Recent studies [3] show that the diffraction mechanism may impose severe losses to the signal, so that coverage in non-line of sight (NLOS) channels may be deficient in the frequency band of interest [4]
Trees and other scatterers can substantially impact the propagation of millimeterwaves, and degrade the performance of ultra-wideband signals (UWB) systems operating in this frequency band
Summary
The recent literature on millimeter-wave (mmW) wireless channels is relatively limited. Deterministic models based on ray tracing in urban environments provided excellent agreements with results from measurement campaigns [2]. Assessing the propagation of mobile communications signals in these environments is important In these frequencies, waves have limited penetration through constructions and are more subject to small scatters. Waves have limited penetration through constructions and are more subject to small scatters Their application is usually limited to smaller cells, where the transmitter is located at lower heights and line-of sight (LOS) configurations are preferred [4]. Under these conditions, the vegetation cover present in urban areas can substantially impact signal quality.
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