Dual Mode Localization Assisted Beamforming for mmWave V2V Communication.
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| Title: | Dual Mode Localization Assisted Beamforming for mmWave V2V Communication. |
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| Authors: | Mahabal, Chinmay1 cmahabal@umassd.edu, Wang, Honggang1 hwang1@umassd.edu, Fang, Hua1 hfang2@umassd.edu |
| Source: | IEEE Transactions on Vehicular Technology. Sep2022, Vol. 71 Issue 9, p9450-9459. 10p. |
| Subjects: | Beamforming, Directional antennas, Phase shifters, Antenna design, Phased array antennas, Kalman filtering |
| Abstract: | This study is motivated by the fact that localization in millimeter wave(mmWave) Vehicle-to-Vehicle communication becomes a more critical problem because both the terminals of the communication link are in motion. The positional awareness merely based on GPS or local sensors has an error margin of around 10 meters, which can worsen in uncertain real-time conditions such as road topology and highway traffic. The paper analyses the relation between vehicle dynamics, beamforming, and beam alignment for highly directive antennas. When the subsystem models presented in this paper are taken into consideration, the joint vehicle dynamics-beamforming approach will optimize the link connectivity and SNR. The vehicle dynamics model is designed to be more realistic considering the non-linear acceleration based on the throttle-brake jerks due to induced noises. The Unscented Kalman Filter based prediction subsystem predicts the alignment values even during non-linear acceleration and jerks. The feasibility of antenna design for the beamforming strategies is supported by the requirements of phase shifters and the number of elements. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 159210965 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dual Mode Localization Assisted Beamforming for mmWave V2V Communication. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mahabal%2C+Chinmay%22">Mahabal, Chinmay</searchLink><relatesTo>1</relatesTo><i> cmahabal@umassd.edu</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Honggang%22">Wang, Honggang</searchLink><relatesTo>1</relatesTo><i> hwang1@umassd.edu</i><br /><searchLink fieldCode="AR" term="%22Fang%2C+Hua%22">Fang, Hua</searchLink><relatesTo>1</relatesTo><i> hfang2@umassd.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Vehicular+Technology%22">IEEE Transactions on Vehicular Technology</searchLink>. Sep2022, Vol. 71 Issue 9, p9450-9459. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Beamforming%22">Beamforming</searchLink><br /><searchLink fieldCode="DE" term="%22Directional+antennas%22">Directional antennas</searchLink><br /><searchLink fieldCode="DE" term="%22Phase+shifters%22">Phase shifters</searchLink><br /><searchLink fieldCode="DE" term="%22Antenna+design%22">Antenna design</searchLink><br /><searchLink fieldCode="DE" term="%22Phased+array+antennas%22">Phased array antennas</searchLink><br /><searchLink fieldCode="DE" term="%22Kalman+filtering%22">Kalman filtering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study is motivated by the fact that localization in millimeter wave(mmWave) Vehicle-to-Vehicle communication becomes a more critical problem because both the terminals of the communication link are in motion. The positional awareness merely based on GPS or local sensors has an error margin of around 10 meters, which can worsen in uncertain real-time conditions such as road topology and highway traffic. The paper analyses the relation between vehicle dynamics, beamforming, and beam alignment for highly directive antennas. When the subsystem models presented in this paper are taken into consideration, the joint vehicle dynamics-beamforming approach will optimize the link connectivity and SNR. The vehicle dynamics model is designed to be more realistic considering the non-linear acceleration based on the throttle-brake jerks due to induced noises. The Unscented Kalman Filter based prediction subsystem predicts the alignment values even during non-linear acceleration and jerks. The feasibility of antenna design for the beamforming strategies is supported by the requirements of phase shifters and the number of elements. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TVT.2022.3175165 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 9450 Subjects: – SubjectFull: Beamforming Type: general – SubjectFull: Directional antennas Type: general – SubjectFull: Phase shifters Type: general – SubjectFull: Antenna design Type: general – SubjectFull: Phased array antennas Type: general – SubjectFull: Kalman filtering Type: general Titles: – TitleFull: Dual Mode Localization Assisted Beamforming for mmWave V2V Communication. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mahabal, Chinmay – PersonEntity: Name: NameFull: Wang, Honggang – PersonEntity: Name: NameFull: Fang, Hua IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00189545 Numbering: – Type: volume Value: 71 – Type: issue Value: 9 Titles: – TitleFull: IEEE Transactions on Vehicular Technology Type: main |
| ResultId | 1 |
