Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial
Name
1604.03689.pdf
Size
1.94 MB
Format
Adobe PDF
Checksum (MD5)
bea24173f1dd32fdd1fab5086dad5895
Author(s)
ElSawy, Hesham
Sultan-Salem, Ahmed
Alouini, Mohamed-Slim
Win, Moe Z
Date Issued
November 2016
Journal
IEEE Communications Surveys & Tutorials
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
ElSawy, Hesham, et al. “Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial.” IEEE Communications Surveys & Tutorials, vol. 19, no. 1, 2017, pp. 167–203.
Version
Original manuscript
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. This paper starts by modeling and analyzing the baseband interference in a baseline single-tier downlink cellular network with single antenna base stations and universal frequency reuse. Then, it characterizes signal-to-interference-plus-noise-ratio and its related performance metrics. In particular, a unified approach to conduct error probability, outage probability, and transmission rate analysis is presented. Although the main focus of this paper is on cellular networks, the presented unified approach applies for other types of wireless networks that impose interference protection around receivers. This paper then extends the 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. To this end, this paper highlights the state-of-the-art research and points out future research directions.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/COMST.2016.2624939
