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Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving

The millimeter-wave (mmWave) Vehicle-to-Vehicle (V2V) communication system has drawn attention as a critical technology to extend the restricted perception of onboard sensors and upgrade the level of vehicular safety that requires a high data rate. However, co-channel inter-link interference present...

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Detalles Bibliográficos
Autores principales: Yin, Yue, Yu, Tao, Maruta, Kazuki, Sakaguchi, Kei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747262/
https://www.ncbi.nlm.nih.gov/pubmed/35009636
http://dx.doi.org/10.3390/s22010093
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author Yin, Yue
Yu, Tao
Maruta, Kazuki
Sakaguchi, Kei
author_facet Yin, Yue
Yu, Tao
Maruta, Kazuki
Sakaguchi, Kei
author_sort Yin, Yue
collection PubMed
description The millimeter-wave (mmWave) Vehicle-to-Vehicle (V2V) communication system has drawn attention as a critical technology to extend the restricted perception of onboard sensors and upgrade the level of vehicular safety that requires a high data rate. However, co-channel inter-link interference presents significant challenges for scalable V2V communications. To overcome such limitations, this paper firstly analyzes the required data rate ensuring maneuver safety via mmWave V2V relays in an overtaking traffic scenario. Based on these preparations, we propose a distributed radio resource management scheme that integrates spatial, frequency, and power domains for two transmission ranges (short/long). In the spatial domain, ZigZag antenna configuration is utilized to mitigate the interference, which plays a decisive role in the short inter-vehicle distance. In frequency and power domains, two resource blocks are allocated alternately, and transmit power is controlled to suppress the interference, which has a decisive impact on interference mitigation in the long inter-vehicle distance. Simulation results reveal that the achievable End-to-End (E2E) throughput maintains consistently higher than the required data rate for all vehicles. Most importantly, it works effectively in scalable mmWave V2V topology.
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spelling pubmed-87472622022-01-11 Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving Yin, Yue Yu, Tao Maruta, Kazuki Sakaguchi, Kei Sensors (Basel) Article The millimeter-wave (mmWave) Vehicle-to-Vehicle (V2V) communication system has drawn attention as a critical technology to extend the restricted perception of onboard sensors and upgrade the level of vehicular safety that requires a high data rate. However, co-channel inter-link interference presents significant challenges for scalable V2V communications. To overcome such limitations, this paper firstly analyzes the required data rate ensuring maneuver safety via mmWave V2V relays in an overtaking traffic scenario. Based on these preparations, we propose a distributed radio resource management scheme that integrates spatial, frequency, and power domains for two transmission ranges (short/long). In the spatial domain, ZigZag antenna configuration is utilized to mitigate the interference, which plays a decisive role in the short inter-vehicle distance. In frequency and power domains, two resource blocks are allocated alternately, and transmit power is controlled to suppress the interference, which has a decisive impact on interference mitigation in the long inter-vehicle distance. Simulation results reveal that the achievable End-to-End (E2E) throughput maintains consistently higher than the required data rate for all vehicles. Most importantly, it works effectively in scalable mmWave V2V topology. MDPI 2021-12-23 /pmc/articles/PMC8747262/ /pubmed/35009636 http://dx.doi.org/10.3390/s22010093 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yin, Yue
Yu, Tao
Maruta, Kazuki
Sakaguchi, Kei
Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving
title Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving
title_full Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving
title_fullStr Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving
title_full_unstemmed Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving
title_short Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving
title_sort distributed and scalable radio resource management for mmwave v2v relays towards safe automated driving
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747262/
https://www.ncbi.nlm.nih.gov/pubmed/35009636
http://dx.doi.org/10.3390/s22010093
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