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Article
License: CC BY
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Conference object . 2015
License: CC BY
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https://doi.org/10.1109/pimrc....
Article . 2015 . Peer-reviewed
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Contention resolution queues for massive machine type communications in LTE

Authors: Laya, Andres; Alonso, Luis; Alonso-Zárate, Jesús;

Contention resolution queues for massive machine type communications in LTE

Abstract

In this paper, we address the challenge of high device density performing simultaneous transmissions by proposing and evaluating a solution to efficiently handle the initial access contention for highly dense LTE networks. We present the implementation of a tree-splitting algorithm in the access procedure of LTE, which is capable to cope with high number of simultaneous arrivals. Based on simulations we show a feasible implementation capable to achieve, under certain network configuration conditions, up to 85% average access delay reduction and 40% reduction on the average energy consumption, while maintaining a consistently low blocking probability, regardless of the number of initial simultaneous access attempts.

Keywords

Energy consumption, Random Access Procedure, Machine-to-Machine, Tree-splitting, LTE-Advanced, Machine Type Communications, Distributed Queuing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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