Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • 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
Measuring and Modeling Aggregate LTE Connection Reliability for Train Operations
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Icomera AB.ORCID iD: 0000-0003-3461-7079
KTH Royal Institute of Technology.
Icomera AB.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7311-9334
2022 (English)In: 2022 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR), Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 31-36Conference paper, Published paper (Refereed)
Abstract [en]

We examine the connection reliability of LTE cellular infrastructure for supporting train signaling systems. In particular, the impact of simultaneous use of multiple networks on reliability is considered, along with failure correlation effects. We present a tailored reliability model, and report on data collected from many train-mounted cellular routers. Connection reliability reaches 99.994% when aggregation is used, compared to 99.953% for the best single link. Both modeling and measurement results show greatly improved reliability when aggregating over multiple links, thus indicating that commercial cellular networks may be useful for providing connectivity to future train signaling systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 31-36
Keywords [en]
connection reliability, train control
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-93972DOI: 10.1109/CQR54764.2022.9918616ISBN: 978-1-6654-1067-0 (print)ISBN: 978-1-6654-1066-3 (electronic)OAI: oai:DiVA.org:kau-93972DiVA, id: diva2:1745113
Conference
IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR 2022),Arlington, USA, September 13-15, 2022.
Available from: 2023-03-22 Created: 2023-03-22 Last updated: 2023-03-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Garcia, JohanBrunström, Anna

Search in DiVA

By author/editor
Garcia, JohanBrunström, Anna
By organisation
Department of Mathematics and Computer Science (from 2013)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 298 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • 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