Simulations play a fundamental role for the eval- uation of vehicular network communication strategies and ap- plications’ effectiveness. Therefore, the vehicular networking community is continuously seeking more realistic channel and reception models to provide more reliable results, yet maintaining scalability in terms of computational effort. We investigate the effects of vehicle shadowing on IEEE 802.11p based communica- tion. In particular, we perform a set of real world measurements on a freeway and study the impact of different obstructing vehicles on the received signal power distribution. Different vehicle types not only affect the average received power, but also its distribution, suggesting that the attenuation characteristics of the simulation model need to be tailored to the type of vehicle that is obstructs the communication path. Based on these observations, we propose a novel way to compose shadowing and fading models to reproduce the observed effects.

Vehicle Shadowing Distribution Depends on Vehicle Type: Results of an Experimental Study

Lo Cigno, Renato Antonio;
2013-01-01

Abstract

Simulations play a fundamental role for the eval- uation of vehicular network communication strategies and ap- plications’ effectiveness. Therefore, the vehicular networking community is continuously seeking more realistic channel and reception models to provide more reliable results, yet maintaining scalability in terms of computational effort. We investigate the effects of vehicle shadowing on IEEE 802.11p based communica- tion. In particular, we perform a set of real world measurements on a freeway and study the impact of different obstructing vehicles on the received signal power distribution. Different vehicle types not only affect the average received power, but also its distribution, suggesting that the attenuation characteristics of the simulation model need to be tailored to the type of vehicle that is obstructs the communication path. Based on these observations, we propose a novel way to compose shadowing and fading models to reproduce the observed effects.
2013
9781479926879
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/524289
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