Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/232860
Title: Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial
Authors: Hesham ElSawy;Ahmed Sultan-Salem;Mohamed-Slim Alouini;Moe Z. Win
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/232860
volume: 19
issue: 1
More Information: 167,
203
Appears in Collections:2017

Files in This Item:
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7733098.pdf2.75 MBAdobe PDF
Title: Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial
Authors: Hesham ElSawy;Ahmed Sultan-Salem;Mohamed-Slim Alouini;Moe Z. Win
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/232860
volume: 19
issue: 1
More Information: 167,
203
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7733098.pdf2.75 MBAdobe PDF
Title: Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial
Authors: Hesham ElSawy;Ahmed Sultan-Salem;Mohamed-Slim Alouini;Moe Z. Win
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/232860
volume: 19
issue: 1
More Information: 167,
203
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7733098.pdf2.75 MBAdobe PDF