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Journal Article Blockage Effects of Road Bridge on mmWave Channels for Intelligent Autonomous Vehicles
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Authors
Dong Yan, Ke Guan, Danping He, Junhyeong Kim, Heesang Chung, Dao Tian, Zhangdui Zhong
Issue Date
2024-03
Citation
IEEE Transactions on Intelligent Transportation Systems, v.25, no.3, pp.2908-2919
ISSN
1524-9050
Publisher
Institute of Electrical and Electronics Engineers
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TITS.2023.3271133
Abstract
Vehicular communication and sensing technologies are key to enabling 6G Intelligent Autonomous Transportation Systems (IATS). With the introduction of massive sensors and artificial intelligence (AI) fusion applications, IATS is needed to support data transmission rates up to 10 Gb/s. Millimeter-wave (mmWave) technology has attracted extensive attention owing to abundant spectrum resources, which can support the timely transmission of massive data. However, performance degradation of mmWave due to signal blockage has become one of the critical technical challenges. Road bridges as one of the common obstacles in urban scenarios, which has severe blockage effects on communication links. Therefore, this paper comprehensively studies the impact of road bridge blockage effects on mmWave vehicle-to-infrastructure (V2I) links and proposes an empirical model that can accurately characterize the bridge blockage effect. First, we use a self-developed mmWave channel sounder to carry out channel measurements on typical urban roads. Measurement results indicate that a maximum extra propagation loss of up to 23 dB is caused by road bridges. In addition, to address the deficiencies of existing propagation prediction models, the Single Road Bridge (SRB) model is proposed in this work. This model reveals for the first time the extra propagation loss caused by the road bridge to the channel. Compared with existing models, the SRB model can make the mean absolute error (MAE) and root mean square error (RMSE) within 5 dB. The proposed SRB model is of great value for accurately simulating real-world road bridge blockage events when designing future IATS.
KSP Keywords
Autonomous Transportation Systems, Blockage effect, Carry out, Channel Sounder, Channel measurement, Communication link, Data transmission, Empirical model, Intelligent autonomous vehicles, Massive Data, Mean Absolute Error