A realistic description of the environment for inter-vehicle wave propagation modelling

Maurer, J.; Schäfer, Thomas; Wiesbeck, W.

doi:10.1109/vtc.2001.956434

Cited by 25 publications

(18 citation statements)

References 5 publications

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“…The authors of [10] employ a ray-tracing approach, and model typical roadside structures and vehicles as scattering objects with definable parameters. These authors have also published subsequent papers that elaborate on their models and analyze transmission system performance over their V2V channels.…”

Section: Existing V2v Channel Modelsmentioning

confidence: 99%

Channel Modeling for Vehicle-To-Vehicle Communications

Matolak

2008

IEEE Commun. Mag.

148

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Section: Existing V2v Channel Modelsmentioning

confidence: 99%

Channel Modeling for Vehicle-To-Vehicle Communications

Matolak

2008

IEEE Commun. Mag.

148

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“…A number of radio propagation models rather more realistic have been proposed and the characteristics of path-loss variation have been derived. A time-variant simulation has been conducted to evaluate the distance dependence of path loss [5]. An inter-vehicle distance has been obtained from the mean inter-vehicle distance for highway, suburban, or forest environments.…”

Section: Introductionmentioning

confidence: 99%

Distance dependence of path loss for millimeter wave inter-vehicle communications

Takahashi

Kato

Sato

et al. 2003

2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484)

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“…where l  sums all the phase terms in equation (8). A simple, yet physical, way to model the amplitude term is to group the terms exp( ) ll aj  in equation (9) Thus, grouping the multipath components into specular and diffuse results in the following representation of equation (9) [49, Ch.…”

Section: A First Order Statistical Characterizationmentioning

confidence: 99%

Generic stochastic modeling of vehicle-to-vehicle wireless channels

Karadimas

Matolak

2014

Vehicular Communications

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We present a generic statistical characterization of the vehicle-to-vehicle (V-V) wireless channel by adopting a stochastic modeling approach. Our approach is based on the doubly underspread (DU) property of non-wide sense stationary uncorrelated scattering (non-WSSUS) wireless channels, with V-V channels pertaining to this category. DU channels exhibit explicit frequency and time intervals over which they are approximated as WSSUS. We call these intervals restricted time interval (RTI) and restricted bandwidth (RBW), and variations taking place inside them are characterized as small scale variations. Large scale variations take place outside RTI and RBW. In this paper, we focus on small scale variations, thus, our modeling finds its applicability within RTI and RBW. As practical V-V channels exhibit rapid

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A realistic description of the environment for inter-vehicle wave propagation modelling

Cited by 25 publications

References 5 publications

Channel Modeling for Vehicle-To-Vehicle Communications

Channel Modeling for Vehicle-To-Vehicle Communications

Distance dependence of path loss for millimeter wave inter-vehicle communications

Generic stochastic modeling of vehicle-to-vehicle wireless channels

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