Modeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial

TL;DR

This tutorial provides an in-depth stochastic geometry-based analysis framework for cellular networks, covering interference, SINR, and performance metrics, with extensions to various cellular features and broader wireless networks.

Contribution

It introduces a comprehensive, unified stochastic geometry approach for analyzing cellular network performance, including extensions for realistic cellular features.

Findings

Unified approach to error, outage, and rate analysis

Extension of models to include frequency reuse and multiple antennas

Numerical demonstrations of the analysis methods

Abstract

This paper presents a tutorial on stochastic geometry (SG) based analysis for cellular networks. This tutorial is distinguished by its depth with respect to wireless communication details and its focus on cellular networks. The paper starts by modeling and analyzing the baseband interference in a basic cellular network model. Then, it characterizes signal-to-interference-plus-noise-ratio (SINR) and its related performance metrics. In particular, a unified approach to conduct error probability, outage probability, and rate analysis is presented. Although the main focus of the paper is on cellular networks, the presented unified approach applies for other types of wireless networks that impose interference protection around receivers. The paper then extends the baseline unified approach to capture cellular network characteristics (e.g., frequency reuse, multiple antenna, power control, etc.). It also presents numerical examples associated with demonstrations and discussions. Finally, we point out future research directions.