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    A spatiotemporal model for the LTE uplink: Spatially interacting tandem queues approach

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    Type
    Conference Paper
    Authors
    Gharbieh, Mohammad
    Elsawy, Hesham cc
    Bader, Ahmed
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Investment Fund
    Date
    2017-07-31
    Online Publication Date
    2017-07-31
    Print Publication Date
    2017-05
    Permanent link to this record
    http://hdl.handle.net/10754/625992
    
    Metadata
    Show full item record
    Abstract
    With 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.
    Citation
    Gharbieh 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.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2017 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2017 IEEE International Conference on Communications, ICC 2017
    DOI
    10.1109/ICC.2017.7996535
    Additional Links
    http://ieeexplore.ieee.org/document/7996535/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICC.2017.7996535
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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