Prediction of Line-of-Sight Propagation Loss in Inter-Vehicle Communication Environments

Ito, Yoshinobu; Taga, Tetsuya; Muramatsu, Junya; Suzuki, Noriyoshi

doi:10.1109/pimrc.2007.4394280

Cited by 16 publications

(8 citation statements)

References 9 publications

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“…The authors of Ito et al . [] confirmed the basic form or shape of the two‐ray model with both measurements and simulations, but only for LOS conditions on a vacant street. A more generalized model is described by Konstantinou et al .…”

Section: V2v Channel Modelingmentioning

confidence: 99%

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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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Section: V2v Channel Modelingmentioning

confidence: 99%

“…Sample path loss modeling for V2V channels appears inKaredal et al [2011],Tabatabaei et al [2011],Ito et al [2007],Konstantinou et al [2008], andSchack et al [2011]. The authors ofKaredal et al [2011] developed the measurement-based models (one of which is in the form of equation…”

mentioning

confidence: 99%

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

Matolak

2014

Radio Science

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“…However, other research work considered the iterative process of testing as the main criterion. For example, in [8] it is recommended to use a correction factor for calculating the breakpoint from the first Fresnel zone, interpreting this factor as the effect of the environment on the propagation conditions. In [3], the breakpoint is determined, using iterative tests over distances located between two selected values depending on the environment.…”

Section: B Model Fit To the Data Obtained From Measurements Made In mentioning

confidence: 99%

Adjustments of Log-Distance Path Loss Model for Digital Television in Lima

Fernández¹,

Quispe²,

Kemper³

et al. 2012

Anais De XXX Simpósio Brasileiro De Telecomunicações

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it is necessary to perform a proper planning for an efficient deployment of new infrastructure for transmission of digital television in countries that have adopted such technology. In that sense, the coverage prediction process, which makes use of path loss propagation models, plays an important role. The log-distance path loss model determines that the average power loss depends logarithmically on the distance and it has a parameter called propagation exponent which is required to be calculated for each studied environment. This paper describes the adjustments made to the log-distance path loss model using data from three sets of signal strength measurements in Lima, Peru. Through a series of iterations, two computationally simple models for estimating the average path loss were obtained. The performance of the models were evaluated comparing their results with those calculated using Okumura-Hata and the Rec. ITU-R P.1546 model, showing good results. The proposed strategy used here can be applied to any other environment of propagation to estimate the path loss.

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“…De igual manera, muchas campañas de medida han centrado sus investigaciones en sistemas SISO [1], [3], [4], [6], [9]- [13]. Sin embargo las tecnologías MIMO están ganando mucha importancia en los estándares IEEE 802.11 y pueden llegar a ser muy atractivas para los sistemas V2V.…”

Section: B Campañas De Medida En Escenarios Vehicularesunclassified

A survey of channel measurement techniques and narrowband channel parameters for vehicular communications

Fernández

Avella

Campuzano

et al. 2012

2012 IEEE Colombian Communications Conference (COLCOM)

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Propagation characteristics in vehicular radio channels are affected by time-and frequency-selective behavior due to the multipath propagation effect and the movements of the transmitter, the receiver as well as the relevant scatterers. Measurements are vital for the understanding of propagation channels. This article provides an overview of existing vehicular channel measurements. The vehicular channel measurement techniques are briefly described and classified. Furthermore, we review the channel metrics such as path-loss, signal fading and Doppler spread based on the available literature and we summarize and discuss some measurements results of the reported parameters to describe the propagation narrowband channel characteristics in vehicular environments.Index Terms-V2V channels, channel modeling, Doppler spread, vehicular communications. I. INTRODUCCIÓNEl diseño de futuros sistemas de comunicaciones vehiculares ha estado ganando una mayor atención, debido al gran potencial que tienen para mejorar las condiciones de seguridad en las carreteras, teniendo como propósito reducir los accidentes de tráfico y facilitar el flujo vehicular. Los sistemas de transporte inteligente (ITS, Intelligent Transportation Systems), requieren que la conectividad entre las comunicaciones Vehículo a Vehículo (V2V, Vehicle-to-Vehicle) y Vehículo a Infraestructura (V2I, Vehicle-to-Infrastructure) sean confiables. En este sentido se hace necesario un profundo entendimiento de los parámetros que determinan la caracterización del canal de propagación. Asimismo, la naturaleza del desvanecimiento selectivo en tiempo-frecuencia de los canales vehiculares es significativamente diferente de los canales celulares, lo que hace que sean requeridas nuevas campañas de medida y modelos.El canal V2V, difiere del canal de propagación Fijo a Móvil (F2M, Fixed-to-Mobile) en varios aspectos importantes: 1) el entorno de propagación es diferente, 2) el transmisor (Tx) y receptor (Rx) se encuentran a la misma altura y en entornos similares, y 3) la alta movilidad del Tx y Rx como también la de dispersores importantes. Estas diferencias entre canales V2V y F2M hacen que los modelos de canal desarrollados para F2M no puedan ser aplicados para la evaluación de rendimiento y desarrollo de futuras aplicaciones ITS, basadas en sistemas de comunicación vehicular. Es de notar que en la literatura a los sistemas de comunicaciones V2I y V2V se les conoce como sistemas de comunicaciones V2X.El artículo está organizado de la siguiente manera: En la Sección II se realiza una descripción de las técnicas de medida y configuraciones para medir la función de transferencia en canales vehiculares. Igualmente se realiza un breve estado del arte de las campañas de medidas realizadas en estos canales, teniendo en cuenta los parámetros y características relacionadas con los escenarios vehiculares (densidad de tráfico vehicular, naturaleza del enlace, sentido de desplazamientos, distancias de separación entre vehículos). En la Sección III se describen brevemente los parámetros ...

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Prediction of Line-of-Sight Propagation Loss in Inter-Vehicle Communication Environments

Cited by 16 publications

References 9 publications

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

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

Adjustments of Log-Distance Path Loss Model for Digital Television in Lima

A survey of channel measurement techniques and narrowband channel parameters for vehicular communications

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