Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Train Velocity and Data Throughput: A Large Scale LTE Cellular Measurements Study
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed systems and communication (DISCO))ORCID iD: 0000-0003-3461-7079
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed systems and communication (DISCO))ORCID iD: 0000-0003-0368-9221
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed systems and communication (DISCO))ORCID iD: 0000-0001-7311-9334
Center for Wireless Systems, KTH.
2017 (English)In: Proceedings of the 2017 IEEE 86th Vehicular Technology Conference (VTC Fall), New York: IEEE, 2017, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

Train-mounted aggregation routers that provide WiFi access to train passengers and bundle external communication over multiple cellular modems/links is an efficient way of providing communication services on trains. However, the characteristics of such systems have received limited attention in the literature. In this paper we address this gap by examining the communication characteristics of such systems based on a large data set gathered over six months from an operational Swedish railway system. We focus our examination on the relationship between per link throughput and train velocity. Using Levenberg- Marquardt non-linear regression a noticeable critical point is observed for an RS-SINR of around 12 dB. At this point the impact of increased train velocity on per link throughput changes from being negative to becoming positive. Using a machine learning approach we also explore the relative importance of several observed metrics in relation to per link throughput.

Place, publisher, year, edition, pages
New York: IEEE, 2017. p. 1-6
Series
IEEE Vehicular Technology Conference VTC
Keywords [en]
Cellular networks, LTE, 4G, Trains
National Category
Computer Sciences Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-65251DOI: 10.1109/VTCFall.2017.8288294ISI: 000428141602054ISBN: 978-1-5090-5935-5 (print)OAI: oai:DiVA.org:kau-65251DiVA, id: diva2:1159472
Conference
86th IEEE Vehicular Technology Conference (VTC-Fall), Toronto, Canada, 24–27 September 2017
Projects
HITSAvailable from: 2017-11-22 Created: 2017-11-22 Last updated: 2018-08-16Bibliographically approved

Open Access in DiVA

fulltext(885 kB)10 downloads
File information
File name FULLTEXT01.pdfFile size 885 kBChecksum SHA-512
dc8cf92860064e6b7aaf36a64fbd947996f7f0c1f27fa345862223a60e9fd44f70023139e0e93596ec6e047b4a0a4f837f6d330dcd322217db028e3d27d97ee0
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Garcia, JohanAlfredsson, StefanBrunström, Anna

Search in DiVA

By author/editor
Garcia, JohanAlfredsson, StefanBrunström, Anna
By organisation
Department of Mathematics and Computer Science (from 2013)
Computer SciencesTelecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 10 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 394 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf