# Vehicular Communications: A Physical Layer Perspective

**Authors:** Le Liang, Haixia Peng, Geoffrey Ye Li, Xuemin Shen

arXiv: 1704.05746 · 2017-09-19

## TL;DR

This paper provides a comprehensive overview of the physical layer challenges and solutions in vehicular communications, highlighting channel modeling, estimation, modulation, and millimeter wave potential.

## Contribution

It offers a detailed synthesis of current physical layer techniques and identifies future challenges and opportunities in vehicular communication systems.

## Key findings

- Vehicular channels are highly time-varying and require specialized modeling.
- Advanced modulation schemes can improve high-mobility communication reliability.
- Millimeter wave bands offer promising avenues for high data rate vehicular links.

## Abstract

Vehicular communications have attracted more and more attention recently from both industry and academia due to its strong potential to enhance road safety, improve traffic efficiency, and provide rich on-board information and entertainment services. In this paper, we discuss fundamental physical layer issues that enable efficient vehicular communications and present a comprehensive overview of the state-of-the-art research. We first introduce vehicular channel characteristics and modeling, which are the key underlying features differentiating vehicular communications from other types of wireless systems. We then present schemes to estimate the time-varying vehicular channels and various modulation techniques to deal with high-mobility channels. After reviewing resource allocation for vehicular communications, we discuss the potential to enable vehicular communications over the millimeter wave bands. Finally, we identify the challenges and opportunities associated with vehicular communications.

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/1704.05746/full.md

## References

120 references — full list in the complete paper: https://tomesphere.com/paper/1704.05746/full.md

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Source: https://tomesphere.com/paper/1704.05746