Vehicle-to-infrastructure (V2I) communication may provide high data rates tovehicles via millimeter-wave (mmWave) microcellular networks. This paper usesstochastic geometry to analyze the coverage of urban mmWave microcellularnetworks. Prior work used a pathloss model with a line-of-sight probabilityfunction based on randomly oriented buildings, to determine whether a link wasline-of-sight or non-line-of-sight. In this paper, we use a pathloss modelinspired by measurements, which uses a Manhattan distance model and accountsfor differences in pathloss exponents and losses when turning corners. In ourmodel, users and base stations (BSs) are randomly located on a network formedby a two dimensional Poisson line process. Our model is well suited for urbanmicrocellular networks where the base stations are deployed at street level.Based on this new approach, we derive the coverage probability under certain BSassociation rules to obtain closed-form solutions without much complexity. Inaddition, we draw two main conclusions from our work. First, non-line-of-sightBSs are not a major benefit for association or source of interference. Second,there is an ultradense regime where deploying (active) BSs does not enhancecoverage.
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