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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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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