Abstract
The vehicle-to-infrastructure (V2I) communication can capture infrastructure data and provide travelers with real-time traffic information, which can significantly improve road safety. Millimeter-wave (mmWave) with large bandwidth has been introduced as a key technology to achieve ultra-reliable, low latency, and high-data-rate V2I communication. In this paper, the V2I communication in mmWave band (22.1GHz-23.lGHz) is characterized for typical urban and highway scenarios. By considering the different deployments involving overtaking and traffic flow, the simulations are conducted by employing the self-developed ray-tracing. The key channel parameters, including received power, Rician K-factor, root-mean-square delay spread and angular spreads, are analyzed and compared between different deployments. Moreover, the impacts of the multiple antennas and beam switching technologies at the vehicle are evaluated as well. This work aims to help the researchers understand the channel characteristics of the V2I communication in mmWave band and support communication system design for vehicular communications.
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BibTeX (Download)
@inproceedings{Wu2020,
title = {Millimeter-Wave Channel Characterization for Vehicle-to-Infrastructure Communication},
author = {Lina Wu and Danping He and Ke Guan and Bo Ai and Junhyeong Kim and Heesang Chung},
doi = {10.23919/EuCAP48036.2020.9136022},
year = {2020},
date = {2020-03-01},
urldate = {2020-03-01},
booktitle = {2020 14th European Conference on Antennas and Propagation (EuCAP)},
pages = {1-5},
abstract = {The vehicle-to-infrastructure (V2I) communication can capture infrastructure data and provide travelers with real-time traffic information, which can significantly improve road safety. Millimeter-wave (mmWave) with large bandwidth has been introduced as a key technology to achieve ultra-reliable, low latency, and high-data-rate V2I communication. In this paper, the V2I communication in mmWave band (22.1GHz-23.lGHz) is characterized for typical urban and highway scenarios. By considering the different deployments involving overtaking and traffic flow, the simulations are conducted by employing the self-developed ray-tracing. The key channel parameters, including received power, Rician K-factor, root-mean-square delay spread and angular spreads, are analyzed and compared between different deployments. Moreover, the impacts of the multiple antennas and beam switching technologies at the vehicle are evaluated as well. This work aims to help the researchers understand the channel characteristics of the V2I communication in mmWave band and support communication system design for vehicular communications.},
keywords = {mmWave, radio propagation, ray-tracing, V2I communication},
pubstate = {published},
tppubtype = {inproceedings}
}