Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band

Cheng, Lin; Henty, B.E.; Stancil, Daniel D.; Bai, Fan; Mudalige, Priyantha

doi:10.1109/jsac.2007.071002

Cited by 622 publications

(418 citation statements)

References 22 publications

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“…Rather than modeling the exact LOS status which are less predicable, we studied its existence pattern statistically among channel measurement traces [6]. A trace is labeled as LOS-evident if: (a) there exists a frequency component with high power contributing in received signal; or (b) there exists very few other components that are comparable (detected as peaks).…”

Section: Los Existence Statusmentioning

confidence: 99%

“…In this paper, we do not attempt to evaluate path loss models -we are using the same (measured) path loss value with both the modeled and measured fading processes in our evaluation. For fading components, we learned the relative power ratio for specific vehicular environments from trace study in [6], and applied the same value in implementation and evaluation.…”

Section: Component Contributionsmentioning

confidence: 99%

“…We first collect the exact geographic and mobility information in measurement study [6], where 889 Doppler spectra (called M1−889) are recorded with each representing a 1.5 s continuous-wave measurement trace. Using the geographic scatterer density estimates, we generated a corresponding simulated Doppler spectrum for each trace (E1−889) using location-specific parameter estimates as described in §4.2.…”

Section: Doppler Spectrum Similaritymentioning

confidence: 99%

“…Different aspects of channels properties have been investigated in measurementbased studies, e.g. narrowband Doppler shift [6], wideband impulse response [14] and MIMO channels [15]. Other experiments explore LOS(and NLOS) effects in propagation channels [16] and shows significant impact on packet reception [17] in vehicular channels.…”

Section: Related Workmentioning

confidence: 99%

“…Geometrybased fading models make assumptions of scatterer distribution pattern, such as a single ring [18] and a double ring [8]. Measurements [6,14] show that fading effects in V2V channel have distinct features beyond what generalized mobileto-mobile fading models usually capture. Models with better assumptions on scatterer patterns have been developed, for both LOS [19] and fading effects [4,5].…”

Section: Related Workmentioning

confidence: 99%

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Improving the accuracy of environment-specific vehicular channel modeling

Wang

Anderson

Steenkiste

et al. 2012

Proceedings of the Seventh ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterizatio

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Networking research benefits from the controlled, repeatable experimentation provided by simulation and emulation systems. Making such simulations realistic is a challenge for wireless systems and is especially difficult for vehicular networks. This paper introduces a realistic vehicular channel simulation model that includes a Line-Of-Sight (LOS ) module and Vehicle-to-Vehicle (V2V) fading module specially designed for vehicular channels.Specialized models can provide a close approximation of real channel conditions, but their accuracy is limited by the quality of input information about the environment being modeled. In this paper, we present a systematic approach to estimate location-specific scattering properties using aerial photography. We show that this approach significantly improves the accuracy of simulated channel fading.

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Section: Los Existence Statusmentioning

confidence: 99%

Section: Component Contributionsmentioning

confidence: 99%

Section: Doppler Spectrum Similaritymentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Improving the accuracy of environment-specific vehicular channel modeling

Wang

Anderson

Steenkiste

et al. 2012

Proceedings of the Seventh ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterizatio

Self Cite

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Modeling the vehicle‐to‐vehicle propagation channel: A review

Matolak

2014

Radio Science

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In this paper we provide a review of the vehicle-to-vehicle (V2V) wireless propagation channel. This "car-to-car" application will be used to improve roadway efficiency, provide unique traveler services, and can also enable safety applications that can save lives. We briefly review some currently envisioned applications and the initial V2V radio technology, then address the V2V propagation channel. Propagation basics germane to the V2V setting are described, followed by a discussion of channel dispersion and time variation. The channel impulse response and its Fourier transform, the channel transfer function, are described in detail, and their common statistical characterizations are also reviewed. The most common models for the V2V channel-the tapped delay line and geometry-based stochastic channel models-are covered in some detail. We highlight key differences between the V2V channel and the well-known cellular radio channel. These differences are the more rapid time variation and the higher probability of obstruction of the direct line of sight component; modeling of these effects has required some novel approaches. The V2V channel's nonstationary statistical behavior is addressed, as is the use of multiple-antenna systems. The remaining areas for future work are also described.

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