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dc.contributor.authorGharbieh, Mohammad
dc.contributor.authorElsawy, Hesham
dc.contributor.authorBader, Ahmed
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2017-03-22T05:24:47Z
dc.date.available2017-03-22T05:24:47Z
dc.date.issued2017-02-07
dc.identifier.citationGharbieh M, ElSawy H, Bader A, Alouini M-S (2016) Tractable Stochastic Geometry Model for IoT Access in LTE Networks. 2016 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/GLOCOM.2016.7842349.
dc.identifier.doi10.1109/GLOCOM.2016.7842349
dc.identifier.urihttp://hdl.handle.net/10754/623058
dc.description.abstractThe Internet of Things (IoT) is large-scale by nature. This is not only manifested by the large number of connected devices, but also by the high volumes of traffic that must be accommodated. Cellular networks are indeed a natural candidate for the data tsunami the IoT is expected to generate in conjunction with legacy human-type traffic. However, the random access process for scheduling request represents a major bottleneck to support IoT via LTE cellular networks. Accordingly, this paper develops a mathematical framework to model and study the random access channel (RACH) scalability to accommodate IoT traffic. The developed model is based on stochastic geometry and discrete time Markov chains (DTMC) to account for different access strategies and possible sources of inter-cell and intra-cell interferences. To this end, the developed model is utilized to assess and compare three different access strategies, which incorporate a combination of transmission persistency, back-off, and power ramping. The analysis and the results showcased herewith clearly illustrate the vulnerability of the random access procedure as the IoT intensity grows. Finally, the paper offers insights into effective scenarios for each transmission strategy in terms of IoT intensity and RACH detection thresholds.
dc.description.sponsorshipThe authors would like to acknowledge KAUST for funding this work, and Dr. Abdulkareem Adinoyi for his valued comments and suggestions.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7842349/
dc.rights(c) 2017 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.
dc.subjectInternet of Things
dc.subjectLong Term Evolution
dc.subjectMarkov processes
dc.subjectcellular radio
dc.subjectdiscrete time systems
dc.subjecttelecommunication scheduling
dc.titleTractable Stochastic Geometry Model for IoT Access in LTE Networks
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2016 IEEE Global Communications Conference (GLOBECOM)
dc.eprint.versionPost-print
dc.identifier.arxivid1607.03349
kaust.personGharbieh, Mohammad
kaust.personElsawy, Hesham
kaust.personBader, Ahmed
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-13T18:17:43Z
dc.date.published-online2017-02-07
dc.date.published-print2016-12


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