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Authordc.contributor.authorAtat, Rachad 
Authordc.contributor.authorLiu, Lingjia 
Authordc.contributor.authorWu, Jinsong 
Authordc.contributor.authorAshdown, Jonathan 
Authordc.contributor.authorYi, Yang 
Admission datedc.date.accessioned2019-10-11T17:31:14Z
Available datedc.date.available2019-10-11T17:31:14Z
Publication datedc.date.issued2019
Cita de ítemdc.identifier.citationMobile Networks and Applications, Volumen 24, Issue 4, 2019, Pages 1364-1372
Identifierdc.identifier.issn15728153
Identifierdc.identifier.issn1383469X
Identifierdc.identifier.other10.1007/s11036-018-0995-1
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/171330
Abstractdc.description.abstract© 2018, Springer Science+Business Media, LLC, part of Springer Nature.While the number of things is growing accompanied with an explosive increase in wireless traffic, network providers are facing a set of challenges, especially that the massive number of devices are expected to communicate over the current cellular networks. In an attempt to relieve network congestion and increase throughput, we turn toward cell shrinking and offloading, a key technology in future 5G networks. Using this potential solution, we are mainly targeting two important issues: i) enabling cyber-physical systems (CPS) communications over cellular networks to provide CPS with several benefits such as ubiquitous coverage, global connectivity, reliability and security; and ii) offloading a proportion of CPS traffic to small cells, which in tun increases the throughput of macrocells, and frees more network resources to other users. Using stochastic geometry, we present an analysis on CPS offloading rate and achiev
Lenguagedc.language.isoen
Publisherdc.publisherSpringer New York LLC
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceMobile Networks and Applications
Keywordsdc.subjectAchievable throughput
Keywordsdc.subjectCyber-physical systems (CPS)
Keywordsdc.subjectHeterogeneous network
Keywordsdc.subjectOffloading
Keywordsdc.subjectSolar energy harvesting
Keywordsdc.subjectStochastic geometry
Títulodc.titleGreen Massive Traffic Offloading for Cyber-Physical Systems over Heterogeneous Cellular Networks
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorSCOPUS
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile