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A Measurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations
Lund Univ, Elect & Informat Technol Dept, S-22100 Lund, Sweden..
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
Lund Univ, Elect & Informat Technol Dept, S-22100 Lund, Sweden..
Lund Univ, Elect & Informat Technol Dept, S-22100 Lund, Sweden..
2015 (English)In: International Journal of Antennas and Propagation, ISSN 1687-5869, E-ISSN 1687-5877, article id 190607Article in journal (Refereed) Published
Abstract [en]

The vehicle-to-vehicle (V2V) propagation channel has significant implications on the design and performance of novel communication protocols for vehicular ad hoc networks (VANETs). Extensive research efforts have been made to develop V2V channel models to be implemented in advanced VANET system simulators for performance evaluation. The impact of shadowing caused by other vehicles has, however, largely been neglected in most of the models, as well as in the system simulations. In this paper we present a shadow fading model targeting system simulations based on real measurements performed in urban and highway scenarios. The measurement data is separated into three categories, line-of-sight (LOS), obstructed line-of-sight (OLOS) by vehicles, and non-line-of-sight due to buildings, with the help of video information recorded during the measurements. It is observed that vehicles obstructing the LOS induce an additional average attenuation of about 10 dB in the received signal power. An approach to incorporate the LOS/OLOS model into existing VANET simulators is also provided. Finally, system level VANET simulation results are presented, showing the difference between the LOS/OLOS model and a channel model based on Nakagami-m fading.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2015. article id 190607
National Category
Telecommunications Vehicle Engineering Signal Processing Embedded Systems
Identifiers
URN: urn:nbn:se:hh:diva-35443DOI: 10.1155/2015/190607ISI: 000357217500001Scopus ID: 2-s2.0-84934301469OAI: oai:DiVA.org:hh-35443DiVA, id: diva2:1159478
Available from: 2017-11-22 Created: 2017-11-22 Last updated: 2017-11-22Bibliographically approved

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Sjöberg, Katrin

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CiteExportLink to record
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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
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Output format
  • html
  • text
  • asciidoc
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