5G NR-V2X: Toward Connected and Cooperative Autonomous Driving

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 01 Mar 2021Embargo end date: 01 Jan 2020 Ireland, United Kingdom Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Communications Standards Magazine, volume 5, pages 48-54 (issn: 2471-2825, eissn: 2471-2833,

Copyright policy )Publicly fundedFunded by:EC | 5G-HEART

Authors: Hamidreza Bagheri; Md. Noor-A-Rahim; Zi Long Liu 0001; Haeyoung Lee; Dirk Pesch; Klaus Moessner; Pei Xiao 0001;

doi: 10.1109/mcomstd.001.2000069 , 10.48550/arxiv.2009.03638

arXiv: 2009.03638

handle: 10468/14243

5G NR-V2X: Toward Connected and Cooperative Autonomous Driving

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Abstract

This paper is concerned with the key features and fundamental technology components for 5G New Radio (NR) for genuine realization of connected and cooperative autonomous driving. We discuss the major functionalities of physical layer, Sidelink features and its resource allocation, architecture flexibility, security and privacy mechanisms, and precise positioning techniques with an evolution path from existing cellular vehicle-to-everything (V2X) technology towards NR-V2X. Moreover, we envisage and highlight the potential of machine learning for further enhancement of various NR-V2X services. Lastly, we show how 5G NR can be configured to support advanced V2X use cases in autonomous driving.

Countries

Ireland, United Kingdom

Related Organizations

University of Surrey
United Kingdom
University College Cork
Ireland
University of Essex
United Kingdom
Chemnitz University of Technology
Germany

Keywords

Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, 5G New Radio (NR), Vehicle-to-everything (V2X), Computer Science - Information Theory, Information Theory (cs.IT), NR-V2X, Autonomous driving, 004

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