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I. Safiulin, S. Schwarz, T. Philosof, M. Rupp:
"Gaussian Modeling of Spatially Correlated LOS/NLOS Maps for Mobile Communications";
Talk: IEEE 84th Vehicular Technology Conference (VTC2016 fall), Montreal; 09-18-2016 - 09-21-2016; in: "Proceedings of the IEEE 84th Vehicular Technology Conference", (2016).

The wireless channel behaves markedly different
depending on whether a line-of-sight (LOS) between transmitter
and receiver exists or not. State-of-the-art wireless channel
models for mobile communications, such as, IST WINNERII
and the 3GPP 3D channel model specified in TR 36.873, define
distinct macro- and microscopic fading parameters for LOS and
non-LOS (NLOS) situations. Whether a user is in LOS/NLOS is
randomly determined by a distance-dependent LOS probability;
commonly, for each position in the network, the random realization
of LOS/NLOS propagation is independently determined
from this distance-dependent LOS probability. Since in this case
random draws of neighboring positions are statistically independent,
base station assignment regions in system-level simulations
become highly irregular. To mitigate this problem, we propose
an efficient method to generate spatially correlated LOS/NLOS
channel maps that follow predefined distance-dependent LOS
probability and additionally enable spatial clustering of LOS
positions.

line-of-sight propagation, wireless channel model, system-level simulations, mobile communications