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The integration of Non-Terrestrial Networks (NTNs) into 6G networks is one ofthe most promising ways to achieve significant improvements in capacity,reliability, and global coverage. The design of NTN heavily relies on usingchannel models. In this paper, we propose two easy-to-use simulators forestimating the Line-of-Sight (LoS) probability $\mathbf{P_{LoS}}$ in a 3D urbanenvironment. The first simulator is a 3D city simulator that employs simplifiedRay Tracing (RT), while the second one is a lightweight geometry-basedsimulator that generates only the relevant buildings between users and UnmannedAerial Vehicles (UAVs). Using these simulators, we assess the accuracy ofexisting models for $\mathbf{P_{LoS}}$ estimation and examine$\mathbf{P_{LoS}}$ for different UAV heights, user-UAV distances, andazimuth/elevation angles. We conclude that 1) existing models overestimate$\mathbf{P_{LoS}}$, resulting in overoptimistic NTN performance predictions, 2)nodes location (including azimuth and elevation angles) is an important factorinfluencing $\mathbf{P_{LoS}}$, however, this influence is not captured by theexisting models.

Probability of Line of Sight Evaluation in Urban Environments using 3D Simulator