  As the realization of vehicular communication such as vehicle-to-vehicle
(V2V) or vehicle-to-infrastructure (V2I) is imperative for the autonomous
driving cars, the understanding of realistic vehicle-to-everything (V2X) models
is needed. While previous research has mostly targeted vehicular models in
which vehicles are randomly distributed and the variable of carrier frequency
was not considered, a more realistic analysis of the V2X model is proposed in
this paper. We use a one-dimensional (1D) Poisson cluster process (PCP) to
model a realistic scenario of vehicle distribution in a perpendicular cross
line road urban area and compare the coverage results with the previous
research that distributed vehicles randomly by Poisson Point Process (PPP).
Moreover, we incorporate the effect of different carrier frequencies, mmWave
and sub-6 GHz, to our analysis by altering the antenna radiation pattern
accordingly. Results indicated that while the effect of clustering led to lower
outage, using mmWave had even more significance in leading to lower outage.
Moreover, line-of-sight (LoS) interference links are shown to be more dominant
in lowering the outage than the non-line-of-sight (NLoS) links even though they
are less in number. The analytical results give insight into designing and
analyzing the urban V2X channels, and are verified by actual urban area
three-dimensional (3D) ray-tracing simulation.
