Scipediacontent: Scipediacontent moved page Draft Content 663160794 to Suzuki et al 2015b

2021-01-28T17:09:36Z

Scipediacontent moved page Draft Content 663160794 to Suzuki et al 2015b

Scipediacontent: Created page with " == Abstract == Due to significant increase in vehicular accident and traffic congestions, vehicle to vehicle (V2V) communication based on the intelligent transport system (I..."

2021-01-28T17:09:33Z

Created page with " == Abstract == Due to significant increase in vehicular accident and traffic congestions, vehicle to vehicle (V2V) communication based on the intelligent transport system (I..."

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== Abstract ==

Due to significant increase in vehicular accident and traffic congestions, vehicle to vehicle (V2V) communication based on the intelligent transport system (ITS) was introduced aiming to significantly reduce vehicular accident and traffic congestion. However, to carry out efficient design and implementation of a reliable vehicular communication systems, a deep knowledge of the propagation channel characteristics in different environments is crucial, in particular the Doppler and pathloss parameters. This paper presents an empirical V2V channel characterization and measurement performed under realistic urban, suburban and highway driving conditions in Brisbane, Australia. Based on Lin Cheng statistical Doppler Model (LCDM), values for the RMS Doppler spread and coherence time due to time selective nature of V2V channels are presented. Also, based on log-distance power law model, values for the mean pathloss exponent and the standard deviation of shadowing were reported for urban, suburban and highway environments. The V2V channel parameters can be useful to system designers for the purpose of evaluating, simulating and developing new protocols and systems.

== Original document ==

The different versions of the original document can be found in:

* [http://eprints.qut.edu.au/77971/1/Doppler_and_Pathloss_Characterization_for_V2V.pdf http://eprints.qut.edu.au/77971/1/Doppler_and_Pathloss_Characterization_for_V2V.pdf]

* [http://xplorestaging.ieee.org/ielx7/6995185/7020854/07020874.pdf?arnumber=7020874 http://xplorestaging.ieee.org/ielx7/6995185/7020854/07020874.pdf?arnumber=7020874],
: [http://dx.doi.org/10.1109/atnac.2014.7020874 http://dx.doi.org/10.1109/atnac.2014.7020874]

* [https://eprints.qut.edu.au/77971 https://eprints.qut.edu.au/77971],
: [https://ieeexplore.ieee.org/document/7020874 https://ieeexplore.ieee.org/document/7020874],
: [https://academic.microsoft.com/#/detail/1969433909 https://academic.microsoft.com/#/detail/1969433909]

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Suzuki et al 2015b - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 663160794 to Suzuki et al 2015b

Scipediacontent: Created page with " == Abstract == Due to significant increase in vehicular accident and traffic congestions, vehicle to vehicle (V2V) communication based on the intelligent transport system (I..."