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Modeling and analysis of LTE connectivity in a high mobility vehicular environment.pdf (7.88 MB)

Modeling and analysis of LTE connectivity in a high mobility vehicular environment

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journal contribution
posted on 2018-05-01, 07:56 authored by Andres Burbano-Abril, Robert EdwardsRobert Edwards, Victor Rangel, Raul Aquino-Santos, Miguel Lopez-Guerrero, Roy KalawskyRoy Kalawsky, Mohammadreza Behjati
Long-Term Evolution (LTE) technology has several features that make it an attractive alternative to be used in vehicle-to-infrastructure communications for intelligent transportation systems. However, before LTE can be widely used in this context, a number of analyses must provide convincing evidence that critical network functions (e.g. resource allocation strategies) yield adequate performance. To this end, in this work, we introduce a Markov-chain based model for LTE downlink channel quality, a prime factor affecting performance. Our model comes from the analysis of a large number of measurements of LTE Cell-Specific Reference Signals that were collected through a crowdsourcing application on a motorway in the UK. The model is intended to be used in performance evaluation studies and we exemplify its use with a case study, where we estimate the downlink transmission capacity of an LTE network. We also discuss other potential applications.

Funding

This work was supported by the British Council Newton Institution Links Programme IL 172728189; DGAPA PAPIITIN116316; and CONACyTPEI 230023.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Computers and Electrical Engineering

Citation

BURBANO-ABRIL, A. ... et al, 2018. Modeling and analysis of LTE connectivity in a high mobility vehicular environment. Computers and Electrical Engineering, 68, pp.322–336.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2018-04-12

Publication date

2018

Notes

This paper was accepted for publication in the journal Computers and Electrical Engineering and the definitive published version is available at https://doi.org/10.1016/j.compeleceng.2018.04.007

ISSN

0045-7906

Language

  • en