A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations
By considering the velocity variations of both terminals and moving scatterers, a general segment-based model for non-stationary vehicle-to-vehicle (V2V) channels is proposed in this paper. The time evolving channel parameters, i.e., Doppler frequencies, angles of arrival and departure, path delays,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8835056/ |
| _version_ | 1819073472017465344 |
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| author | Weidong Li Xiaomin Chen Qiuming Zhu Weizhi Zhong Dazhuan Xu Fei Bai |
| author_facet | Weidong Li Xiaomin Chen Qiuming Zhu Weizhi Zhong Dazhuan Xu Fei Bai |
| author_sort | Weidong Li |
| collection | DOAJ |
| description | By considering the velocity variations of both terminals and moving scatterers, a general segment-based model for non-stationary vehicle-to-vehicle (V2V) channels is proposed in this paper. The time evolving channel parameters, i.e., Doppler frequencies, angles of arrival and departure, path delays, and path powers, are analyzed and simplified by the Taylor series expansions. The proposed model can be applied for realistic V2V communication environments and explicitly reveal the impact of velocity variations on the channels. In addition, the theoretical statistical properties, i.e., the temporal correlation function (TCF), Doppler power spectrum density (DPSD), level-crossing rate (LCR), and average fading duration (AFD) are also analyzed and derived. Simulation results under four typical V2V scenarios show that the theoretical results agree well with the simulated and measured ones, which verifies the effectiveness of both the proposed model and the derivations. |
| first_indexed | 2024-12-21T17:54:09Z |
| format | Article |
| id | doaj.art-a87c1a0feca14c7dabd293bf2e9b479b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-21T17:54:09Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a87c1a0feca14c7dabd293bf2e9b479b2022-12-21T18:55:15ZengIEEEIEEE Access2169-35362019-01-01713344213345110.1109/ACCESS.2019.29410428835056A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity VariationsWeidong Li0Xiaomin Chen1Qiuming Zhu2https://orcid.org/0000-0002-4995-5970Weizhi Zhong3https://orcid.org/0000-0003-0424-8065Dazhuan Xu4Fei Bai5Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaBy considering the velocity variations of both terminals and moving scatterers, a general segment-based model for non-stationary vehicle-to-vehicle (V2V) channels is proposed in this paper. The time evolving channel parameters, i.e., Doppler frequencies, angles of arrival and departure, path delays, and path powers, are analyzed and simplified by the Taylor series expansions. The proposed model can be applied for realistic V2V communication environments and explicitly reveal the impact of velocity variations on the channels. In addition, the theoretical statistical properties, i.e., the temporal correlation function (TCF), Doppler power spectrum density (DPSD), level-crossing rate (LCR), and average fading duration (AFD) are also analyzed and derived. Simulation results under four typical V2V scenarios show that the theoretical results agree well with the simulated and measured ones, which verifies the effectiveness of both the proposed model and the derivations.https://ieeexplore.ieee.org/document/8835056/Vehicle-to-vehicle (V2V) channelnon-stationary channel modelvelocity variationstatistical property |
| spellingShingle | Weidong Li Xiaomin Chen Qiuming Zhu Weizhi Zhong Dazhuan Xu Fei Bai A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations IEEE Access Vehicle-to-vehicle (V2V) channel non-stationary channel model velocity variation statistical property |
| title | A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations |
| title_full | A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations |
| title_fullStr | A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations |
| title_full_unstemmed | A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations |
| title_short | A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations |
| title_sort | novel segment based model for non stationary vehicle to vehicle channels with velocity variations |
| topic | Vehicle-to-vehicle (V2V) channel non-stationary channel model velocity variation statistical property |
| url | https://ieeexplore.ieee.org/document/8835056/ |
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