An Analytical Framework for Coverage in Cellular Networks Leveraging Vehicles
Chang-Sik Choi, Fran\c{c}ois Baccelli

TL;DR
This paper develops an analytical framework for cellular networks that incorporate vehicles as base stations and users, modeling the road network with Poisson line processes and analyzing coverage and association probabilities.
Contribution
It introduces a novel stochastic geometry model combining planar and vehicular base stations, deriving integral formulas for coverage and association in this hybrid network.
Findings
Derived distance distributions to nearest base stations.
Analyzed user association probabilities.
Characterized coverage probabilities for various communication types.
Abstract
This paper analyzes an emerging architecture of cellular network utilizing both planar base stations uniformly distributed in Euclidean plane and base stations located on roads. An example of this architecture is that where, in addition to conventional planar cellular base stations and users, vehicles also play the role of both base stations and users. A Poisson line process is used to model the road network and, conditionally on the lines, linear Poisson point processes are used to model the vehicles on the roads. The conventional planar base stations and users are modeled by independent planar Poisson point processes. The joint stationarity of the elements in this model allows one to use Palm calculus to investigate statistical properties of such a network. Specifically, this paper discusses two different Palm distributions, with respect to the user point processes depending on its…
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