Title: MmWave vehicle-to-infrastructure communication: Analysis of urban microcellular networks,
Abstract: Vehicle-to-infrastructure (V2I) communication may provide high data rates to
vehicles via millimeter-wave (mmWave) microcellular networks. This paper uses
stochastic geometry to analyze the coverage of urban mmWave microcellular
networks. Prior work used a pathloss model with a line-of-sight probability
function based on randomly oriented buildings, to determine whether a link was
line-of-sight or non-line-of-sight. In this paper, we use a pathloss model
inspired by measurements, which uses a Manhattan distance pathloss model and
accounts for differences in pathloss exponents and losses when turning corners.
In our model, streets are randomly located as a Manhattan Poisson line process
(MPLP) and the base stations (BSs) are distributed according to a Poisson point
process. Our model is well suited for urban microcellular networks where the
BSs are deployed at street level. Based on this new approach, we derive the
coverage probability under certain BS association rules to obtain closed-form
solutions without much complexity. In addition, we draw two main conclusions
from our work. First, non-line-of-sight BSs are not a major benefit for
association or source of interference most of the time. Second, there is an
ultra-dense regime where deploying active BSs does not enhance coverage.