Vehicle Positioning Using 5G Millimeter-Wave Systems

Recent growth in traffic and the resulting congestion and accidents has increased the demand for vehicle positioning systems. Existing global navigation satellite systems were designed for line of sight environments and thus accurately determining the location of a vehicle in urban areas with tall b...

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Main Authors: Xuerong Cui, Thomas Aaron Gulliver, Juan Li, Hao Zhang
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
5G
Online Access:https://ieeexplore.ieee.org/document/7583720/
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spelling doaj-8fc96d6fd1bc4462a532e987ae3e0bca2021-03-29T19:42:44ZengIEEEIEEE Access2169-35362016-01-0146964697310.1109/ACCESS.2016.26154257583720Vehicle Positioning Using 5G Millimeter-Wave SystemsXuerong Cui0https://orcid.org/0000-0002-2326-9518Thomas Aaron Gulliver1https://orcid.org/0000-0001-9919-0323Juan Li2Hao Zhang3Department of Computer and Communication Engineering, China University of Petroleum (East China), Qingdao, ChinaDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC, CanadaDepartment of Computer and Communication Engineering, China University of Petroleum (East China), Qingdao, ChinaDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC, CanadaRecent growth in traffic and the resulting congestion and accidents has increased the demand for vehicle positioning systems. Existing global navigation satellite systems were designed for line of sight environments and thus accurately determining the location of a vehicle in urban areas with tall buildings or regions with dense foliage is difficult. Fifth generation (5G) cellular networks provide device-to-device communication capabilities which can be exploited to determine the real-time location of vehicles. Millimeter-wave (mmWave) transmission is regarded as a key technology for 5G networks. This paper examines vehicle positioning using 5G mmWave signals. Both a correlation receiver and an energy detector are considered for timing estimation. Furthermore, fixed and dynamic thresholds for energy detection are examined. It is shown that a correlation receiver can provide excellent ranging accuracy but has high computational complexity, whereas an energy detector has low computational complexity and provides good ranging accuracy. Furthermore, the Gaussian raised-cosine pulse (RCP), Gaussian pulse, and Sinc-RCP impulse radio waveforms provide the best performance.https://ieeexplore.ieee.org/document/7583720/Position measurementvehicular and wireless technologiesmillimeter wave communicationintelligent transportation systems5G
collection DOAJ
language English
format Article
sources DOAJ
author Xuerong Cui
Thomas Aaron Gulliver
Juan Li
Hao Zhang
spellingShingle Xuerong Cui
Thomas Aaron Gulliver
Juan Li
Hao Zhang
Vehicle Positioning Using 5G Millimeter-Wave Systems
IEEE Access
Position measurement
vehicular and wireless technologies
millimeter wave communication
intelligent transportation systems
5G
author_facet Xuerong Cui
Thomas Aaron Gulliver
Juan Li
Hao Zhang
author_sort Xuerong Cui
title Vehicle Positioning Using 5G Millimeter-Wave Systems
title_short Vehicle Positioning Using 5G Millimeter-Wave Systems
title_full Vehicle Positioning Using 5G Millimeter-Wave Systems
title_fullStr Vehicle Positioning Using 5G Millimeter-Wave Systems
title_full_unstemmed Vehicle Positioning Using 5G Millimeter-Wave Systems
title_sort vehicle positioning using 5g millimeter-wave systems
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2016-01-01
description Recent growth in traffic and the resulting congestion and accidents has increased the demand for vehicle positioning systems. Existing global navigation satellite systems were designed for line of sight environments and thus accurately determining the location of a vehicle in urban areas with tall buildings or regions with dense foliage is difficult. Fifth generation (5G) cellular networks provide device-to-device communication capabilities which can be exploited to determine the real-time location of vehicles. Millimeter-wave (mmWave) transmission is regarded as a key technology for 5G networks. This paper examines vehicle positioning using 5G mmWave signals. Both a correlation receiver and an energy detector are considered for timing estimation. Furthermore, fixed and dynamic thresholds for energy detection are examined. It is shown that a correlation receiver can provide excellent ranging accuracy but has high computational complexity, whereas an energy detector has low computational complexity and provides good ranging accuracy. Furthermore, the Gaussian raised-cosine pulse (RCP), Gaussian pulse, and Sinc-RCP impulse radio waveforms provide the best performance.
topic Position measurement
vehicular and wireless technologies
millimeter wave communication
intelligent transportation systems
5G
url https://ieeexplore.ieee.org/document/7583720/
work_keys_str_mv AT xuerongcui vehiclepositioningusing5gmillimeterwavesystems
AT thomasaarongulliver vehiclepositioningusing5gmillimeterwavesystems
AT juanli vehiclepositioningusing5gmillimeterwavesystems
AT haozhang vehiclepositioningusing5gmillimeterwavesystems
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