Comparisons of Non-line-of-Sight Inter-Vehicle Communications in the urban environment between 5.9GHz and 700MHz bands (Poster)

Sai, Seii; Oshida, Takuro; Onishi, Ryokichi; Yoshioka, Akira; Tanaka, Hideaki

doi:10.1109/vnc.2012.6407423

Cited by 7 publications

(3 citation statements)

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“…In V2V measurement activities, the RMS delay is regarded as important parameters [18]. The pervious literatures address RMS delay spread [4], [26], is important factors for error floor caused by the delay scatter. In the analysis of this paper, we choose the threshold of 6dB as the noise floor.…”

Section: B Rms Delay and Doppler Spreadmentioning

confidence: 99%

Vehicle-to-Vehicle Propagation Channel Performance for Overtaking Cases Based on Measurements

Chang

Chen

et al. 2019

IEEE Access

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Overtaking case is a common traffic situation, but it is likely to pose a threat to traffic safety. To ensure reliable communication, it is necessary to study the characteristics of wireless channel under overtaking cases. In this paper, we focus on Vehicle-to-Vehicle (V2V) radio channel characteristics based on measurements at 5.9GHz. Through research and analysis, we can present empirical results of propagation channels in four scenarios. Our main concern is the difference in channel characteristics between overtaking and non-overtaking case. We propose a method to divide overtaking cases and non-overtaking cases points based on small-scale fading distribution, and results show that the dividing point is about 11 meters between the measured vehicles. Judging by Akaike Information Criterion(AIC), Weibull distribution is best under overtaking cases, while it follows Ricean distribution under non-overtaking. Then, we prove that the result of the AIC decision is valid by the Kolmogorov-Smirnov test. Therefore, we further compare Weibull β-factor and Ricean K-factor under two cases. The values of root-mean-square (RMS) delay spreads and average fade duration under overtaking cases are higher than those under non-overtaking, but RMS Doppler spreads and the level crossing rate are smaller than those under non-overtaking. The cross-correlation between RMS delay spread and Ricean K-factor is also calculated. The correlation value in OT case is higher than that in NOT case. The value of the correlation in the case of overtaking is higher than the case of non-overtaking. By comparing the above methods, it is proved that the dividing point between overtaking cases and nonovertaking cases is effective. INDEX TERMS V2V communication, channel measurement, overtaking, channel estimation, channel modeling, cross-correlation.

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Section: B Rms Delay and Doppler Spreadmentioning

confidence: 99%

Vehicle-to-Vehicle Propagation Channel Performance for Overtaking Cases Based on Measurements

Chang

Chen

et al. 2019

IEEE Access

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“…For dense urban environments (as opposed to highways), shorter transmission ranges simply enable greater network throughput without great risk of connectivity gaps. The 802.11p (5.9GHz) wireless standard from [28] gives a data rate of 12Mps and mean transmission range of 50m with standard deviation 4m. Although JiST/SWANS…”

Section: (Indicated In Yellow) A-b-c-d-a or A-d-c-b-amentioning

confidence: 99%

Reducing redundant data transmissions in wireless ad hoc networks: comparing aggregation and filtering

Ouksel

Lundquist

2015

Wireless Netw

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Efficient bandwidth usage is vital for real-time ad hoc networking applications like vehicular safety. Yet, such applications can produce large amounts of identical data. Pruning redundant data transmissions can enable delivering richer data to more users at shorter intervals. Reducing redundancy has been studied extensively for stable network topologies but the solutions are not directly extensible to dynamic topologies where information about network state obsolesces quickly. We compare two novel combinations of the adaptive controlled flooding routing protocol, SBSD, with implementations of response aggregation and query filtering for mobile environments. We test these combinations in simulated vehicular networks. We show that, even in cases where response aggregation only slightly improves network performance, query filtering can improve delivery by up to 30% and response time by 75%.

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“…En[54], presentan una arquitectura de red heterogénea cellular-VANET para realizar una eficiente diseminación de información, con el fin de maximizar la tasa de transición. S. Sai[55] et al realizan una comparación entre las bandas de 700M Hz y 5.9GHz, concluyen que se requieren mejoras en la banda de los 5.9GHz para lidiar con la comunicación sin línea de vista (Non-Line-of-Sight, NLOS). Un esquema de encaminamiento donde la posición y dirección de movimiento se combinan con el mecanismo Store-Carry-Forward con el fin de reducir los mensajes encaminados es presentado por Yasuharu Ohta[56] et al En[57], proponen un protocolo de difusión probabilístico que toma en cuenta la densidad de vecinos para que cada vehículo ajuste su probabilidad de retransmisión.…”

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Optimización de mecanismos para la difusión de información en redes vehiculares

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Comparisons of Non-line-of-Sight Inter-Vehicle Communications in the urban environment between 5.9GHz and 700MHz bands (Poster)

Cited by 7 publications

References 1 publication

Vehicle-to-Vehicle Propagation Channel Performance for Overtaking Cases Based on Measurements

Vehicle-to-Vehicle Propagation Channel Performance for Overtaking Cases Based on Measurements

Reducing redundant data transmissions in wireless ad hoc networks: comparing aggregation and filtering

Optimización de mecanismos para la difusión de información en redes vehiculares

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