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

Handle URI:
http://hdl.handle.net/10754/605178
Title:
Modeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial
Authors:
Elsawy, Hesham ( 0000-0003-4201-6126 ) ; Salem, Ahmed Sultan; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Win, Moe Z.
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 baseline single-tier downlink cellular network with single antenna base stations and universal frequency reuse. 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 transmission 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 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, the paper highlights the state-of-the- art research and points out future research directions.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
H. ElSawy; A. Sultan-Salem; M. S. Alouini; M. Z. Win, "Modeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial," in IEEE Communications Surveys & Tutorials , vol.PP, no.99, pp.1-1
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Communications Surveys & Tutorials
Issue Date:
3-Nov-2016
DOI:
10.1109/COMST.2016.2624939
Type:
Article
ISSN:
1553-877X
Sponsors:
This work was funded by the Sensor Research Initiative funded by the Office of Sponsored Research at the King Abdullah University of Science and Technology, Thuwal, Makkah Province, Saudi Arabia.
Additional Links:
http://ieeexplore.ieee.org/document/7733098/
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorElsawy, Heshamen
dc.contributor.authorSalem, Ahmed Sultanen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorWin, Moe Z.en
dc.date.accessioned2016-11-24T14:17:04Z-
dc.date.available2016-11-24T14:17:04Z-
dc.date.issued2016-11-03-
dc.identifier.citationH. ElSawy; A. Sultan-Salem; M. S. Alouini; M. Z. Win, "Modeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial," in IEEE Communications Surveys & Tutorials , vol.PP, no.99, pp.1-1en
dc.identifier.issn1553-877X-
dc.identifier.doi10.1109/COMST.2016.2624939-
dc.identifier.urihttp://hdl.handle.net/10754/605178-
dc.description.abstractThis 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 baseline single-tier downlink cellular network with single antenna base stations and universal frequency reuse. 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 transmission 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 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, the paper highlights the state-of-the- art research and points out future research directions.en
dc.description.sponsorshipThis work was funded by the Sensor Research Initiative funded by the Office of Sponsored Research at the King Abdullah University of Science and Technology, Thuwal, Makkah Province, Saudi Arabia.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7733098/en
dc.rightsArchived with thanks to IEEE Communications Surveys & Tutorialsen
dc.subjectAggregatesen
dc.subjectCellular networksen
dc.subjectInterferenceen
dc.subjectSignal to noise ratioen
dc.subjectTutorialsen
dc.subjectWireless networksen
dc.titleModeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorialen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Communications Surveys & Tutorialsen
dc.eprint.versionPost-printen
dc.contributor.institutionLaboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA 02139, USAen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorElsawy, Heshamen
kaust.authorSalem, Ahmed Sultanen
kaust.authorAlouini, Mohamed-Slimen

Version History

VersionItem Editor Date Summary
2 10754/605178grenzdm2016-11-24 14:10:33.3Article accepted for publication: Accepted version available for deposit from IEEE.
1 10754/605178.1wangh0e2016-04-13 12:12:19.0
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