Impact of a truck as an obstacle on vehicle-to-vehicle communications in rural and highway scenarios

Vlastaras, Dimitrios; Abbas, Taimoor; Nilsson, Mikael; Whiton, Russ; Olbäck, Magnus; Tufvesson, Fredrik

doi:10.1109/wivec.2014.6953226

Cited by 40 publications

(34 citation statements)

References 14 publications

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“…Distinct features of vehicle types have an impact on the propagation modeling even if the vehicle itself is not the transmitter or the receiver. For example, the additional attenuation caused by a large truck blocking the line-of-sight (LOS) between the transmitter and the receiver can be more than 20 dB higher than the attenuation caused by personal vehicles [16], [17].…”

Section: Vehicle Typesmentioning

confidence: 99%

Vehicular Communications: Survey and Challenges of Channel and Propagation Models

Viriyasitavat

Boban²,

Tsai

et al. 2015

IEEE Veh. Technol. Mag.

225

102

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Abstract-Vehicular communication is characterized by a dynamic environment, high mobility, and comparatively low antenna heights on the communicating entities (vehicles and roadside units). These characteristics make the vehicular propagation and channel modeling particularly challenging. In this survey paper, we classify and describe the most relevant vehicular propagation and channel models, with a particular focus on the usability of the models for the evaluation of protocols and applications. We first classify the models based on the propagation mechanisms they employ and their implementation approach. We also classify the models based on the channel properties they implement, where we pay special attention to the usability of the models, including the complexity of implementation, scalability, and the input requirements (e.g., geographical data input). We also discuss the less-explored aspects in the vehicular channel modeling, including modeling specific environments (e.g., tunnels, overpasses, parking lots) and types of communicating vehicles (e.g., scooters, public transportation vehicles). We conclude the paper by identifying the under-researched aspects of the vehicular propagation and channel modeling that require further modeling and measurement studies.

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Section: Vehicle Typesmentioning

confidence: 99%

Vehicular Communications: Survey and Challenges of Channel and Propagation Models

Viriyasitavat

Boban²,

Tsai

et al. 2015

IEEE Veh. Technol. Mag.

225

102

View full text Add to dashboard Cite

show abstract

“…3) VANET channel model in the motorway scenario: In this case, the path loss model used for the motorway is based on the model proposed in [20]. According to this model, the path loss at a distance d is calculated as…”

Section: B Propagation and Channel Modelsmentioning

confidence: 99%

Distribution of Road Hazard Warning Messages to Distant Vehicles in Intelligent Transport Systems

Calabuig

Martín‐Sacristán

Monserrat

et al. 2018

IEEE Trans. Intell. Transport. Syst.

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The efficient distribution of Intelligent Transport System (ITS) messages is fundamental for the deployment and acceptance of ITS applications by mobile network operators and the automotive industry. In particular, the distribution of Road Hazard Warning (RHW) messages to distant vehicles requires special mechanisms. In this case, the combination of direct communication between vehicles and the wide area coverage provided by cellular networks might be crucial not only for reducing the data transmission costs but also for improving the timeliness of ITS information. Moreover, the application of clustering and cluster head selection mechanisms among vehicles can increase the efficiency of hybrid vehicular and cellular communication networks. This paper introduces a novel cluster head selection technique for the distribution of RHW messages, and proposes an implementation of another legacy technique that was originally intended for Mobile Ad-hoc Networks (MANETs). The paper evaluates the performance of these techniques by means of computer simulations in two scenarios with distinct congestion and propagation conditions. The simulation results show the potential benefit of hybrid networks compared to pure cellular transmissions, especially if the novel cluster head selection technique is used.

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“…where n is the path loss exponent, PL 0 is the path loss at a reference distance d 0 , and X σ1 represents the shadowing effect which is modeled as a zero-mean normally distributed random variable with standard deviation σ 1 . An additional attenuation of 10 dB is added as penetration loss for each obstructing VUE [16], however we ignore small scale fading. The simulation parameters are summarized in Table I.…”

Section: B Heuristic Power Control Algorithmmentioning

confidence: 99%

Power control for broadcast V2V communications with adjacent carrier interference effects

Hisham

Sun

Ström

et al. 2016

2016 IEEE International Conference on Communications (ICC)

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This paper investigates the power control problem for broadcast vehicular communications in the presence of adjacent channel interference (ACI). First, we study the impact of ACI on vehicle-to-vehicle (V2V) communications and conclude that the ACI indeed significantly affects the reliability of V2V links. Second, we formulate a power control optimization problem for vehicles to reduce the negative influence of ACI, which is shown to be NP-hard. Furthermore, we propose two power control schemes where the first one solves the formulated problem by a branch and bound method and the second one considers a heuristic algorithm with much reduced complexity. Finally, simulations are presented which illustrate the necessity of power control when ACI exists and also show promising performance of the proposed algorithms.

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Impact of a truck as an obstacle on vehicle-to-vehicle communications in rural and highway scenarios

Cited by 40 publications

References 14 publications

Vehicular Communications: Survey and Challenges of Channel and Propagation Models

Vehicular Communications: Survey and Challenges of Channel and Propagation Models

Distribution of Road Hazard Warning Messages to Distant Vehicles in Intelligent Transport Systems

Power control for broadcast V2V communications with adjacent carrier interference effects

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