Unified Stochastic Geometry Model for MIMO Cellular Networks with Retransmissions

Handle URI:
http://hdl.handle.net/10754/621131
Title:
Unified Stochastic Geometry Model for MIMO Cellular Networks with Retransmissions
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:
This paper presents a unified mathematical paradigm, based on stochastic geometry, for downlink cellular networks with multiple-input-multiple-output (MIMO) base stations (BSs). The developed paradigm accounts for signal retransmission upon decoding errors, in which the temporal correlation among the signal-to-interference-plus-noise-ratio (SINR) of the original and retransmitted signals is captured. In addition to modeling the effect of retransmission on the network performance, the developed mathematical model presents twofold analysis unification for MIMO cellular networks literature. First, it integrates the tangible decoding error probability and the abstracted (i.e., modulation scheme and receiver type agnostic) outage probability analysis, which are largely disjoint in the literature. Second, it unifies the analysis for different MIMO configurations. The unified MIMO analysis is achieved by abstracting unnecessary information conveyed within the interfering signals by Gaussian signaling approximation along with an equivalent SISO representation for the per-data stream SINR in MIMO cellular networks. We show that the proposed unification simplifies the analysis without sacrificing the model accuracy. To this end, we discuss the diversity-multiplexing tradeoff imposed by different MIMO schemes and shed light on the diversity loss due to the temporal correlation among the SINRs of the original and retransmitted signals. Finally, several design insights are highlighted.
KAUST Department:
King Abdullah University of Science and Technology (KAUST)
Citation:
Afify L, ElSawy H, Al-Naffouri T, Alouini M (2016) Unified Stochastic Geometry Model for MIMO Cellular Networks with Retransmissions. IEEE Transactions on Wireless Communications: 1–1. Available: http://dx.doi.org/10.1109/TWC.2016.2616394.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Wireless Communications
Issue Date:
11-Oct-2016
DOI:
10.1109/TWC.2016.2616394
Type:
Article
ISSN:
1536-1276
Additional Links:
http://ieeexplore.ieee.org/document/7588201/
Appears in Collections:
Articles

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.accessioned2016-10-23T07:18:57Z-
dc.date.available2016-10-23T07:18:57Z-
dc.date.issued2016-10-11en
dc.identifier.citationAfify L, ElSawy H, Al-Naffouri T, Alouini M (2016) Unified Stochastic Geometry Model for MIMO Cellular Networks with Retransmissions. IEEE Transactions on Wireless Communications: 1–1. Available: http://dx.doi.org/10.1109/TWC.2016.2616394.en
dc.identifier.issn1536-1276en
dc.identifier.doi10.1109/TWC.2016.2616394en
dc.identifier.urihttp://hdl.handle.net/10754/621131-
dc.description.abstractThis paper presents a unified mathematical paradigm, based on stochastic geometry, for downlink cellular networks with multiple-input-multiple-output (MIMO) base stations (BSs). The developed paradigm accounts for signal retransmission upon decoding errors, in which the temporal correlation among the signal-to-interference-plus-noise-ratio (SINR) of the original and retransmitted signals is captured. In addition to modeling the effect of retransmission on the network performance, the developed mathematical model presents twofold analysis unification for MIMO cellular networks literature. First, it integrates the tangible decoding error probability and the abstracted (i.e., modulation scheme and receiver type agnostic) outage probability analysis, which are largely disjoint in the literature. Second, it unifies the analysis for different MIMO configurations. The unified MIMO analysis is achieved by abstracting unnecessary information conveyed within the interfering signals by Gaussian signaling approximation along with an equivalent SISO representation for the per-data stream SINR in MIMO cellular networks. We show that the proposed unification simplifies the analysis without sacrificing the model accuracy. To this end, we discuss the diversity-multiplexing tradeoff imposed by different MIMO schemes and shed light on the diversity loss due to the temporal correlation among the SINRs of the original and retransmitted signals. Finally, several design insights are highlighted.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7588201/en
dc.rights(c) 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.en
dc.rights.urihttp://www.ieee.org/publications_standards/publications/rights/index.htmlen
dc.subjectMIMOen
dc.subjectInterferenceen
dc.subjectMathematical modelen
dc.subjectSignal to noise ratioen
dc.subjectDecodingen
dc.subjectStochastic processesen
dc.subjectGeometryen
dc.titleUnified Stochastic Geometry Model for MIMO Cellular Networks with Retransmissionsen
dc.typeArticleen
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST)en
dc.identifier.journalIEEE Transactions on Wireless Communicationsen
dc.eprint.versionPost-printen
kaust.authorAfify, Laila H.en
kaust.authorElsawy, Heshamen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
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