Show simple item record

dc.contributor.authorElSawy, Hesham
dc.contributor.authorSultan-Salem, Ahmed
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorWin, Moe Z
dc.date.accessioned2018-05-02T15:06:11Z
dc.date.available2018-05-02T15:06:11Z
dc.date.issued2016-11
dc.identifier.issn1553-877X
dc.identifier.urihttp://hdl.handle.net/1721.1/115162
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. 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.en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/COMST.2016.2624939en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleModeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorialen_US
dc.typeArticleen_US
dc.identifier.citationElSawy, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.mitauthorWin, Moe Z
dc.relation.journalIEEE Communications Surveys & Tutorialsen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2018-04-18T14:27:23Z
dspace.orderedauthorsElSawy, Hesham; Sultan-Salem, Ahmed; Alouini, Mohamed-Slim; Win, Moe Z.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8573-0488
mit.licenseOPEN_ACCESS_POLICYen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record