Abstract
Line-of-Sight communication will play a major role in the next generation of wireless technologies; from UAV-to-UAV networks, to land mobile satellite services, and mmWave cellular coverage. In this letter we present a model for predicting the geometric line-of-sight probability in different urban environments formulated based on stochastic geometry. The model combines simplicity of formulation with high degree of accuracy when compared to real-life geographic data. For two points in the 3D space, it takes the height of each point and the distance between them as input, also it takes 4 other simple parameters that describe the geometric properties of the underlying environment. Based on these inputs, the proposed model produces consistent analytic results aligned with ray-tracing of the geographic data.
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