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dc.contributor.authorAli, A.
dc.contributor.authorHamouda, W.
dc.contributor.authorUysal, Murat
dc.date.accessioned2015-11-30T14:01:46Z
dc.date.available2015-11-30T14:01:46Z
dc.date.issued2015-09
dc.identifier.issn0163-6804
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7263368
dc.identifier.urihttp://hdl.handle.net/10679/1209
dc.description.abstractIn this article we present the major challenges of future machine-to-machine (M2M) cellular networks such as spectrum scarcity, and support for a large number of low-power, lowcost devices. As an integral part of the future Internet-of-Things (IoT), the true vision of M2M communications cannot be reached with conventional solutions that are typically cost inefficient. The cognitive radio concept has emerged to address spectrum under-utilization and scarcity. The heterogeneous network model is another alternative to relax the number of covered users. To this extent, we present a complete fundamental understanding and the engineering details of cognitive radios, the heterogeneous network model, and power and cost challenges in the context of future M2M cellular networks.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsopenAccess
dc.titleNext generation M2M cellular networks: challenges and practical considerationsen_US
dc.typeArticleen_US
dc.description.versionpre-print
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID124615
dc.contributor.ozuauthorUysal, Murat
dc.identifier.volume53
dc.identifier.issue9
dc.identifier.startpage18
dc.identifier.endpage24
dc.identifier.wosWOS:000361677400006
dc.identifier.doi10.1109/MCOM.2015.7263368
dc.subject.keywordsInternet of Thingsen_US
dc.subject.keywordsCellular radioen_US
dc.subject.keywordsCognitive radioen_US
dc.subject.keywordsNext generation networksen_US
dc.identifier.scopusSCOPUS:2-s2.0-84960089648


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