Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

On site-specific propagation models for the evaluation of V2X applications

: Protzmann, Robert; Schünemann, Björn; Radusch, Ilja

Postprint urn:nbn:de:0011-n-3237237 (314 KByte PDF)
MD5 Fingerprint: 921e4139a783ce33b75cbc96f8d89cab
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Created on: 27.1.2015

Institute of Electrical and Electronics Engineers -IEEE-:
7th International Workshop on Communication Technologies for Vehicles, Nets4Cars-Fall 2014 : 6-8 October 2014, St. Petersburg, Russia; Proceedings
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-5270-0
International Workshop on Communication Technologies for Vehicles (Nets4Cars-Fall) <7, 2014, St. Petersburg>
Conference Paper, Electronic Publication
Fraunhofer FOKUS ()

In this paper, we investigate the use case of an approaching emergency vehicle warning, considering site-specific propagation characteristics. Especially in urban environments, the presence of buildings leads to shadowing properties of the radio signal. In traditional propagation models, these properties are described with stochastic processes. However, for the evaluation of warning use cases where every individual message is important, stochastic models may be too simplistic. Therefore, we implemented efficient ray tracing techniques to identify the specific locations of buildings in the surrounding of the transmitter. Then, we employed adopted models that consider the effects of shadowing, penetration and diffraction to achieve a more accurate result. The comparison of the stochastic and the site-specific models showed that the stochastic models lead to overoptimistic propagation conditions in our scenario. In turn we can rely on a more credible result for the performance of the approaching emergency vehicle warning, when the site-specific models are applied.