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dc.contributor.authorJaber, Men_US
dc.contributor.authorLopez-Martinez, FJen_US
dc.contributor.authorImran, MAen_US
dc.contributor.authorSutton, Aen_US
dc.contributor.authorTukmanov, Aen_US
dc.contributor.authorTafazolli, Ren_US
dc.date.accessioned2019-11-06T10:11:37Z
dc.date.available2018-02-01en_US
dc.date.issued2018-05-08en_US
dc.identifier.issn1536-1276en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/61179
dc.description.abstractWireless technology is the strongest contender for catering for the 5G backhaul (BH) stipulated performance, where optical fiber is unavailable. In the presence of ultra-dense networks, such occurrences are exponentially increasing, and different wireless technologies are investigated for this application. We present the first BH-specific wireless link performance modeling that considers its inherent line-of-sight nature, together with an appropriate representation of the network topology using stochastic geometry. To this end, novel tractable models are obtained to capture the performance of wireless BH links. These are integrated into a multi-hop hybrid BH performance modeling framework and are applied in the analysis of a BH-aware user association optimisation problem.en_US
dc.format.extent3095 - 3110en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.ispartofIEEE Transactions on Wireless Communicationsen_US
dc.subjectperformance modellingen_US
dc.subjectuser-centric-backhaulen_US
dc.subjectwireless backhaulen_US
dc.titleWireless Backhaul: Performance Modeling and Impact on User Association for 5Gen_US
dc.typeArticle
dc.rights.holder© IEEE 2018
dc.identifier.doi10.1109/twc.2018.2806456en_US
pubs.author-urlhttp://eecs.qmul.ac.uk/profiles/jabermona.htmlen_US
pubs.issue5en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume17en_US
dcterms.dateAccepted2018-02-01en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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