Stochastic Geometry Modeling and Analysis of Multi-Tier Millimeter Wave Cellular Networks
Marco Di Renzo

TL;DR
This paper introduces a realistic mathematical framework for analyzing multi-tier millimeter wave cellular networks, incorporating experimental data-driven path-loss and blockage models, and provides formulas for coverage and rate analysis.
Contribution
It presents a novel analytical approach considering realistic propagation and blockage models, applicable to multi-tier networks with beamforming and cell association strategies.
Findings
Dense millimeter wave networks outperform microwave networks in coverage and rate.
The noise-limited approximation is accurate for typical network densities.
The framework accommodates beamforming errors and multi-tier deployments.
Abstract
In this paper, a new mathematical framework to the analysis of millimeter wave cellular networks is introduced. Its peculiarity lies in considering realistic path-loss and blockage models, which are derived from recently reported experimental data. The path-loss model accounts for different distributions of line-of-sight and non-line-of-sight propagation conditions and the blockage model includes an outage state that provides a better representation of the outage possibilities of millimeter wave communications. By modeling the locations of the base stations as points of a Poisson point process and by relying on a noise-limited approximation for typical millimeter wave network deployments, simple and exact integral as well as approximated and closed-form formulas for computing the coverage probability and the average rate are obtained. With the aid of Monte Carlo simulations, the…
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