Vehicular Communications: Survey and Challenges of Channel and Propagation Models

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.

References in corpus (3)

• Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation
• Delay and Doppler Spreads of Non-Stationary Vehicular Channels for Safety Relevant Scenarios
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• Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
• Composite α-μ Based DSRC Channel Model Using Large Data Set of RSSI Measurements
• Vehicle to vehicle path loss modeling at millimeter wave band for crossing cars
• Bit error probability and capacity bound of OFDM systems in deterministic doubly-selective channels
• Vehicular Communications: A Physical Layer Perspective
• Scooter-to-X Communications: Antenna Placement, Human Body Shadowing, and Channel Modeling