Name
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 vehicular propagation and channel modeling particularly challenging. In this article, 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 and 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 vehicular channel modeling, including modeling specific environments (e.g., tunnels, overpasses, and parking lots) and types of communicating vehicles (e.g., scooters and public transportation vehicles). We conclude by identifying the underresearched aspects of vehicular propagation and channel modeling that require further modeling and measurement studies. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MVT.2015.2410341 | Vehicular Technology Magazine, IEEE |
Keywords | Field | DocType |
mobile communication,wireless channels,antenna heights,channel modeling,channel models,channel properties,dynamic environment,geographical data input,propagation mechanisms,propagation models,roadside units,vehicle units,vehicular channel modeling,vehicular communications,vehicular propagation,radio wave propagation,communication channels,radio receivers,usability,data models | Data modeling,Vehicular automation,Usability,Communication channel,Computer network,Vehicular communication systems,Engineering,Radio propagation,Mobile telephony,Scalability | Journal |
Volume | Issue | ISSN |
10 | 2 | 1556-6072 |
Citations | PageRank | References |
47 | 1.32 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wantanee Viriyasitavat | 1 | 260 | 20.07 |
| Mate Boban | 2 | 363 | 26.63 |
| Hsin-Mu Tsai | 3 | 305 | 29.74 |
| Athanasios V. Vasilakos | 4 | 12735 | 523.55 |