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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/32773

Title: Modeling and analysis of LTE connectivity in a high mobility vehicular environment
Authors: Burbano-Abril, Andres
Edwards, R.M.
Rangel, Victor
Aquino-Santos, Raul
Lopez-Guerrero, Miguel
Kalawsky, Roy S.
Behjati, Mohammadreza
Keywords: Benchmarking
Channel Quality Indicator
Finite-state Markov chain
LTE
Vehicular environment
Issue Date: 2018
Publisher: © Elsevier
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.
Abstract: 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.
Description: This paper is closed access until 23 April 2019.
Sponsor: This work was supported by the British Council Newton Institution Links Programme IL 172728189; DGAPA PAPIITIN116316; and CONACyTPEI 230023.
Version: Accepted for publication
DOI: 10.1016/j.compeleceng.2018.04.007
URI: https://dspace.lboro.ac.uk/2134/32773
Publisher Link: https://doi.org/10.1016/j.compeleceng.2018.04.007
ISSN: 0045-7906
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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