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dc.contributor.authorGharbieh, Mohammad
dc.contributor.authorElsawy, Hesham
dc.contributor.authorBader, Ahmed
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2017-10-30T08:39:49Z
dc.date.available2017-10-30T08:39:49Z
dc.date.issued2017-07-31
dc.identifier.citationGharbieh M, ElSawy H, Bader A, Alouini M-S (2017) A spatiotemporal model for the LTE uplink: Spatially interacting tandem queues approach. 2017 IEEE International Conference on Communications (ICC). Available: http://dx.doi.org/10.1109/ICC.2017.7996535.
dc.identifier.doi10.1109/ICC.2017.7996535
dc.identifier.urihttp://hdl.handle.net/10754/625992
dc.description.abstractWith the proliferation of the Internet-of-things (IoT), there is an undeniable consensus that cellular LTE networks will have to support a dramatically larger number of uplink connections. This is true since most of the devices to be added incur machine-type communications which is dominantly upstream. Can current LTE network withstand this challenge? To answer this question, the joint performance of random access process and the uplink data transmission should be investigated. These two problems have been classically treated in the literature in a disjoint fashion. In this paper, they are jointly analyzed as an inseparable couple. To do that, a tandem queuing model is adopted whereby devices are represented as spatially interacting queues. The interaction between queues is governed by the mutual inter-cell and intra-cell interference. To that end, a joint stochastic geometry and queueing theory model is exploited to study this problem and a spatiotemporal analytical model is developed accordingly. Network stability and scalability are two prime performance criteria for performance assessment. In light of these two criteria, the developed model is poised to offer valuable insights into efficient access and resource allocation strategies.
dc.publisherIEEE
dc.relation.urlhttp://ieeexplore.ieee.org/document/7996535/
dc.subjectIoT
dc.subjectLTE cellular networks
dc.subjectqueueing theory
dc.subjectrandom access
dc.subjectstochastic geometry
dc.subjectuplink
dc.titleA spatiotemporal model for the LTE uplink: Spatially interacting tandem queues approach
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journal2017 IEEE International Conference on Communications (ICC)
dc.conference.date2017-05-21 to 2017-05-25
dc.conference.name2017 IEEE International Conference on Communications, ICC 2017
dc.conference.locationParis, FRA
kaust.personGharbieh, Mohammad
kaust.personElsawy, Hesham
kaust.personBader, Ahmed
kaust.personAlouini, Mohamed-Slim


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