  In this paper, we introduce a mathematical framework for analyzing and
optimizing multi-operator cellular networks that are allowed to share spectrum
licenses and infrastructure elements. The proposed approach exploits stochastic
geometry for modeling the locations of cellular base stations and for computing
the aggregate average rate. The trade-offs that emerge from sharing spectrum
frequencies and cellular base stations are quantified and discussed.
