A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation Algorithm
In this paper, we propose an estimated wideband geometry-based channel model for vehicle-to-vehicle (V2V) communication environments, which is based on an angle of departure (AoD) and angle of arrival (AoA) estimation algorithm, to determine the ellipse scattering region and to efficiently study the...
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2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8633901/ |
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doaj-4a1d83df9bf54cf49d86c608e9a0660a2021-03-29T22:55:15ZengIEEEIEEE Access2169-35362019-01-017351243513110.1109/ACCESS.2019.28974298633901A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation AlgorithmHao Jiang0Zaichen Zhang1https://orcid.org/0000-0003-4301-8713Guan Gui2https://orcid.org/0000-0003-3888-2881National Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaKey Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing, ChinaIn this paper, we propose an estimated wideband geometry-based channel model for vehicle-to-vehicle (V2V) communication environments, which is based on an angle of departure (AoD) and angle of arrival (AoA) estimation algorithm, to determine the ellipse scattering region and to efficiently study the V2V channel characteristics for different propagation delays, i.e., per-tap channel statistics. In the first stage, we estimate the AoD and AoA for the first tap. In this case, the ellipse-scattering region for the first tap can be determined. Then, we estimate the ellipse channel models for other taps based on the estimated model parameters for the first tap. Furthermore, the spatial cross-correlation functions (CCFs) are derived and thoroughly investigated for different propagation delays. The excellent agreement is achieved between the proposed channel statistics and prior results and measurements.https://ieeexplore.ieee.org/document/8633901/V2V communication environmentsper-tap channel statisticsAoD and AoA estimation algorithmchannel characteristics |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Hao Jiang Zaichen Zhang Guan Gui |
| spellingShingle |
Hao Jiang Zaichen Zhang Guan Gui A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation Algorithm IEEE Access V2V communication environments per-tap channel statistics AoD and AoA estimation algorithm channel characteristics |
| author_facet |
Hao Jiang Zaichen Zhang Guan Gui |
| author_sort |
Hao Jiang |
| title |
A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation Algorithm |
| title_short |
A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation Algorithm |
| title_full |
A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation Algorithm |
| title_fullStr |
A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation Algorithm |
| title_full_unstemmed |
A Novel Estimated Wideband Geometry-Based Vehicle-to-Vehicle Channel Model Using an AoD and AoA Estimation Algorithm |
| title_sort |
novel estimated wideband geometry-based vehicle-to-vehicle channel model using an aod and aoa estimation algorithm |
| publisher |
IEEE |
| series |
IEEE Access |
| issn |
2169-3536 |
| publishDate |
2019-01-01 |
| description |
In this paper, we propose an estimated wideband geometry-based channel model for vehicle-to-vehicle (V2V) communication environments, which is based on an angle of departure (AoD) and angle of arrival (AoA) estimation algorithm, to determine the ellipse scattering region and to efficiently study the V2V channel characteristics for different propagation delays, i.e., per-tap channel statistics. In the first stage, we estimate the AoD and AoA for the first tap. In this case, the ellipse-scattering region for the first tap can be determined. Then, we estimate the ellipse channel models for other taps based on the estimated model parameters for the first tap. Furthermore, the spatial cross-correlation functions (CCFs) are derived and thoroughly investigated for different propagation delays. The excellent agreement is achieved between the proposed channel statistics and prior results and measurements. |
| topic |
V2V communication environments per-tap channel statistics AoD and AoA estimation algorithm channel characteristics |
| url |
https://ieeexplore.ieee.org/document/8633901/ |
| work_keys_str_mv |
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