The Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networks

Handle URI:
http://hdl.handle.net/10754/575256
Title:
The Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networks
Authors:
Afify, Laila H. ( 0000-0002-7309-6010 ) ; Elsawy, Hesham ( 0000-0003-4201-6126 ) ; Al-Naffouri, Tareq Y.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Stochastic geometry analysis for cellular networks is mostly limited to outage probability and ergodic rate, which abstracts many important wireless communication aspects. Recently, a novel technique based on the Equivalent-in-Distribution (EiD) approach is proposed to extend the analysis to capture these metrics and analyze bit error probability (BEP) and symbol error probability (SEP). However, the EiD approach considerably increases the complexity of the analysis. In this paper, we propose an approximate yet accurate framework, that is also able to capture fine wireless communication details similar to the EiD approach, but with simpler analysis. The proposed methodology is verified against the exact EiD analysis in both downlink and uplink cellular networks scenarios.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
The Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networks 2015:1 IEEE Communications Letters
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Communications Letters
Issue Date:
18-Aug-2015
DOI:
10.1109/LCOMM.2015.2469686
Type:
Article
ISSN:
1089-7798
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7208822
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAfify, Laila H.en
dc.contributor.authorElsawy, Heshamen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-19T12:29:08Zen
dc.date.available2015-08-19T12:29:08Zen
dc.date.issued2015-08-18en
dc.identifier.citationThe Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networks 2015:1 IEEE Communications Lettersen
dc.identifier.issn1089-7798en
dc.identifier.doi10.1109/LCOMM.2015.2469686en
dc.identifier.urihttp://hdl.handle.net/10754/575256en
dc.description.abstractStochastic geometry analysis for cellular networks is mostly limited to outage probability and ergodic rate, which abstracts many important wireless communication aspects. Recently, a novel technique based on the Equivalent-in-Distribution (EiD) approach is proposed to extend the analysis to capture these metrics and analyze bit error probability (BEP) and symbol error probability (SEP). However, the EiD approach considerably increases the complexity of the analysis. In this paper, we propose an approximate yet accurate framework, that is also able to capture fine wireless communication details similar to the EiD approach, but with simpler analysis. The proposed methodology is verified against the exact EiD analysis in both downlink and uplink cellular networks scenarios.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7208822en
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.titleThe Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networksen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Communications Lettersen
dc.eprint.versionPost-printen
dc.contributor.institutionKing Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabiaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorAfify, Laila H.en
kaust.authorElsawy, Heshamen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.