5G NR-V2X: Toward connected and cooperative autonomous driving
dc.contributor.author | Bagheri, Hamidreza | |
dc.contributor.author | Noor-A-Rahim, Md | |
dc.contributor.author | Liu, Zilong | |
dc.contributor.author | Lee, Haeyoung | |
dc.contributor.author | Pesch, Dirk | |
dc.contributor.author | Moessner, Klaus | |
dc.contributor.author | Xiao, Pei | |
dc.contributor.funder | Horizon 2020 | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | European Regional Development Fund | en |
dc.date.accessioned | 2023-02-24T12:41:53Z | |
dc.date.available | 2023-02-24T12:41:53Z | |
dc.date.issued | 2021-03-31 | |
dc.date.updated | 2023-02-24T12:31:47Z | |
dc.description.abstract | 5G New Radio (NR) is touted as a pivotal enabling technology for the genuine realization of connected and cooperative autonomous driving. Despite numerous research efforts in recent years, a systematic overview on the role of 5G NR in future connected autonomous communication networks is missing. To fill this gap and to spark more future research, this article introduces the technology components of 5G NR and discusses the evolution from existing cellular vehicle-to-everything (V2X) technology toward NR-V2X. We primarily focus on the key features and functionalities of the physical layer, sidelink communication and its resource allocation, architecture flexibility, security and privacy mechanisms, and precise positioning techniques. Moreover, we envisage and highlight the potential of machine learning for further performance enhancement in NR-V2X services. Lastly, we show how 5G NR can be configured to support advanced V2X use cases. | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Bagheri, H., Noor-A-Rahim, M., Liu, Z., Lee, H., Pesch, D., Moessner, K. and Xiao, P. (2021) '5G NR-V2X: Toward connected and cooperative autonomous driving', IEEE Communications Standards Magazine, 5(1), pp. 48-54. doi: 10.1109/MCOMSTD.001.2000069 | en |
dc.identifier.doi | 10.1109/MCOMSTD.001.2000069 | en |
dc.identifier.eissn | 2471-2833 | |
dc.identifier.endpage | 54 | en |
dc.identifier.issn | 2471-2825 | |
dc.identifier.issued | 1 | en |
dc.identifier.journaltitle | IEEE Communications Standards Magazine | en |
dc.identifier.startpage | 48 | en |
dc.identifier.uri | https://hdl.handle.net/10468/14243 | |
dc.identifier.volume | 5 | en |
dc.language.iso | en | en |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
dc.relation.project | info:eu-repo/grantAgreement/EC/H2020::RIA/857034/EU/5G HEalth AquacultuRe and Transport validation trials/5G-HEART | en |
dc.relation.project | info:eu-repo/grantAgreement/EC/H2020::RIA/101016499/EU/Dynamic coverage Extension and Distributed Intelligence for human Centric applications with assured security, privacy and trust: from 5G to 6G/DEDICAT 6G | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ | en |
dc.relation.project | info:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGE | en |
dc.rights | © 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
dc.subject | 5G New Radio (NR) | en |
dc.subject | Autonomous driving | en |
dc.subject | Vehicle-to-everything (V2X) | en |
dc.subject | NR-V2X | en |
dc.title | 5G NR-V2X: Toward connected and cooperative autonomous driving | en |
dc.type | Article (peer-reviewed) | en |