Kampert, Erik, Schettler, Christoph, Woodman, Roger, Jennings, Paul. A. and Higgins, Matthew D. (2020) Data for Millimeter-Wave Communication for a Last-Mile Autonomous Transport Vehicle. [Dataset]

	Plain Text (Description of dataset) README.txt - Published Version Available under License Creative Commons Attribution 4.0. Download (13Kb)
	Archive (ZIP) (Zip file containing 24 TXT files) 201911_Fig3.zip - Published Version Available under License Creative Commons Attribution 4.0. Download (5Kb)
	Archive (ZIP) (Zip file containing 18 TXT files) 201911_Fig4.zip - Published Version Available under License Creative Commons Attribution 4.0. Download (4Kb)
	Archive (ZIP) (Zip file containing 12 TXT files) 201911_Fig5.zip - Published Version Available under License Creative Commons Attribution 4.0. Download (3111b)

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Abstract

Low-speed autonomous transport of passengers and goods is expected to have a strong, positive impact on the reliability and ease of travelling. Various advanced functions of the involved vehicles rely on the wireless exchange of information with other vehicles and the roadside infrastructure, thereby benefitting from the low latency and high throughput characteristics that 5G technology has to offer. This work presents an investigation of 5G millimeter-wave communication links for a low-speed autonomous vehicle, focusing on the effects of the antenna positions on both the received signal quality and the link performance. It is observed that the excess loss for communication with roadside infrastructure in front of the vehicle is nearly half-power beam width independent, and the increase of the root mean square delay spread plays a minor role in the resulting signal quality, as the absolute times are considerably shorter than the typical duration of 5G New Radio symbols. Near certain threshold levels, a reduction of the received power affects the link performance through an increased error vector magnitude of the received signal, and subsequent decrease of the achieved data throughput.

Item Type:	Dataset
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions:	Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Type of Data:	Experimental Data
Library of Congress Subject Headings (LCSH):	Automated vehicles, Millimeter waves, Mobile communication systems, Wireless communication systems, 5G mobile communication systems
Publisher:	WMG, University of Warwick
Official Date:	25 February 2020
Dates:	Date Event 12 November 2019 Submitted 25 February 2020 Published
Status:	Not Peer Reviewed
Publication Status:	Published
Media of Output:	.txt
Access rights to Published version:	Open Access
Copyright Holders:	University of Warwick
Description:	--> Software Required Text reader -->Description of the files: Text files expressing the Excess Loss (Fig. 3, left) and root mean square Delay Spread (Fig. 3, right) data arranged by azimuthal angle for the specified transmitting directive horn antenna and height. Text files expressing the Error Vector Magnitude (Fig. 4, left) and Throughput (Fig. 4, right) data arranged by azimuthal angle for the specified transmitting directive horn antenna and height. Text files expressing the Average Data Throughput data arranged by Average EVM (Fig. 5, left) and Received Power Spectral Density (Fig. 5, right) for the specified TX-RX distance and two 10° HPBW directive horn antennas. Thoroughput data uses a TX-RX separation of *m, with boresight aligned TX and RX. All other data uses a TX with a **° HPBW at a height of *.*m, with boresight aligned with RX or TX-RX. The link performance experiments are carried out using the NI mmWave Transceiver System (MTS). The MTS is a software-defined radio with 2 GHz of real-time bandwidth that can be used to create over-the-air prototypes of 5G New Radio (NR) communications links.
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID 103287 Innovate UK http://dx.doi.org/10.13039/501100006041
Related URLs:	Related item in WRAP Other
Contributors:	Contribution Name Contributor ID Depositor Kampert, Erik 79959

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