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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..
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES).
Lund Univ, Elect & Informat Technol Dept, S-22100 Lund, Sweden..
Lund Univ, Elect & Informat Technol Dept, S-22100 Lund, Sweden..
2015 (engelsk)Inngår i: International Journal of Antennas and Propagation, ISSN 1687-5869, E-ISSN 1687-5877, artikkel-id 190607Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Hindawi Publishing Corporation, 2015. artikkel-id 190607
HSV kategori
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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
Tilgjengelig fra: 2017-11-22 Laget: 2017-11-22 Sist oppdatert: 2017-11-22bibliografisk kontrollert

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