Next Article in Journal
Railway Axle Condition Monitoring Technique Based on Wavelet Packet Transform Features and Support Vector Machines
Next Article in Special Issue
A Deep Learning Approach for Estimating Traffic Density Using Data Obtained from Connected and Autonomous Probes
Previous Article in Journal
Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones
Previous Article in Special Issue
Multi-Camera Vehicle Tracking Using Edge Computing and Low-Power Communication
Article

Sensor-Aided V2X Beam Tracking for Connected Automated Driving: Distributed Architecture and Processing Algorithms

1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
2
Dipartimento di Ingegneria Gestionale, Politecnico di Milano, 20156 Milan, Italy
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(12), 3573; https://doi.org/10.3390/s20123573
Received: 30 April 2020 / Revised: 19 June 2020 / Accepted: 21 June 2020 / Published: 24 June 2020
This paper focuses on ultra-reliable low-latency Vehicle-to-Anything (V2X) communications able to meet the extreme requirements of high Levels of Automation (LoA) use cases. We introduce a system architecture and processing algorithms for the alignment of highly collimated V2X beams based either on millimeter-Wave (mmW) or Free-Space Optics (FSO). Beam-based V2X communications mainly suffer from blockage and pointing misalignment issues. This work focuses on the latter case, which is addressed by proposing a V2X architecture that enables a sensor-aided beam-tracking strategy to counteract the detrimental effect of vibrations and tilting dynamics. A parallel low-rate, low-latency, and reliable control link, in fact, is used to exchange data on vehicle kinematics (i.e., position and orientation) that assists the beam-pointing along the line-of-sight between V2X transceivers (i.e., the dominant multipath component for mmW, or the direct link for FSO). This link can be based on sub-6 GHz V2X communication, as in 5G frequency range 1 (FR1). Performance assessments are carried out to validate the robustness of the proposed methodology in coping with misalignment induced by vehicle dynamics. Numerical results show that highly directional mmW and/or FSO communications are promising candidates for massive data-rate vehicular communications even in high mobility scenarios. View Full-Text
Keywords: beam alignment; cooperative beam tracking; V2X; V2V; V2I; mmwave; free-space optics beam alignment; cooperative beam tracking; V2X; V2V; V2I; mmwave; free-space optics
Show Figures

Figure 1

MDPI and ACS Style

Brambilla, M.; Combi, L.; Matera, A.; Tagliaferri, D.; Nicoli, M.; Spagnolini, U. Sensor-Aided V2X Beam Tracking for Connected Automated Driving: Distributed Architecture and Processing Algorithms. Sensors 2020, 20, 3573. https://doi.org/10.3390/s20123573

AMA Style

Brambilla M, Combi L, Matera A, Tagliaferri D, Nicoli M, Spagnolini U. Sensor-Aided V2X Beam Tracking for Connected Automated Driving: Distributed Architecture and Processing Algorithms. Sensors. 2020; 20(12):3573. https://doi.org/10.3390/s20123573

Chicago/Turabian Style

Brambilla, Mattia; Combi, Lorenzo; Matera, Andrea; Tagliaferri, Dario; Nicoli, Monica; Spagnolini, Umberto. 2020. "Sensor-Aided V2X Beam Tracking for Connected Automated Driving: Distributed Architecture and Processing Algorithms" Sensors 20, no. 12: 3573. https://doi.org/10.3390/s20123573

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop