Stochastic Geometry Modeling and Performance Evaluation of mmWave Cellular Communications

TL;DR

This paper introduces a stochastic geometry framework for mmWave cellular networks, incorporating realistic propagation and blockage models, and demonstrates their impact on coverage and rate through analysis and simulations.

Contribution

It presents a novel mathematical framework with realistic models for mmWave networks, enabling accurate performance evaluation and comparison with microwave networks.

Findings

Dense mmWave networks outperform microwave networks in coverage and rate.

The noise-limited approximation is accurate for typical network densities.

Realistic blockage models improve the accuracy of performance analysis.

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 experimental data recently reported in the literature. The path-loss model accounts for different distributions for 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 upon a noise-limited approximation for typical millimeter wave network deployments, exact integral expressions for computing the coverage probability and the average rate are obtained. With the aid of Monte Carlo simulations, the noise-limited approximation is shown to be sufficiently accurate for typical network densities. Furthermore, it is shown that sufficiently dense millimeter wave cellular networks are capable of outperforming micro wave cellular networks, both in terms of coverage probability and average rate.