IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v11y2019i10p217-d278391.html
   My bibliography  Save this article

5G V2X System-Level Architecture of 5GCAR Project

Author

Listed:
  • Massimo Condoluci

    (Ericsson Research, Torshamnsgatan 23, 164 83 Stockholm, Sweden)

  • Laurent Gallo

    (Orange Labs Networks, Orange Gardens, 44 avenue de la République, 92326 Châtillon, France)

  • Laurent Mussot

    (Orange Labs Networks, Orange Gardens, 44 avenue de la République, 92326 Châtillon, France)

  • Apostolos Kousaridas

    (Huawei Technologies, Riesstraße 25, 80992 Munich, Germany)

  • Panagiotis Spapis

    (Huawei Technologies, Riesstraße 25, 80992 Munich, Germany)

  • Maliheh Mahlouji

    (Department of Engineering, King’s College London, Strand, WC2R 2LS London, UK)

  • Toktam Mahmoodi

    (Department of Engineering, King’s College London, Strand, WC2R 2LS London, UK)

Abstract

One of the goals of the 5G Communication Automotive Research and innovation (5GCAR) project has been to evaluate and propose system architecture enhancements aiming at supporting the strict requirements of vehicle-to-everything (V2X) use cases. In this paper, we provide an overview of 3GPP 5G system architecture, which is used as a baseline architecture in the project, and we present the main architectural enhancements introduced by 5GCAR. The work of the project focused on the following categories: (i) end-to-end security, also including aspects of privacy; (ii) network orchestration and management; (iii) network procedures; (iv) edge computing enhancements; and (v) multi-connectivity cooperation. The enhancements introduced by 5GCAR to above-listed categories are discussed in this paper, while a more detailed analysis of some selected features is presented.

Suggested Citation

  • Massimo Condoluci & Laurent Gallo & Laurent Mussot & Apostolos Kousaridas & Panagiotis Spapis & Maliheh Mahlouji & Toktam Mahmoodi, 2019. "5G V2X System-Level Architecture of 5GCAR Project," Future Internet, MDPI, vol. 11(10), pages 1-26, October.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:10:p:217-:d:278391
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/11/10/217/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/11/10/217/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yanjun Shi & Yijia Guo & Lingling Lv & Keshuai Zhang, 2020. "An Efficient Resource Scheduling Strategy for V2X Microservice Deployment in Edge Servers," Future Internet, MDPI, vol. 12(10), pages 1-15, October.
    2. Antonella Molinaro & Claudia Campolo & Jérôme Härri & Christian Esteve Rothenberg & Alexey Vinel, 2020. "5G-V2X Communications and Networking for Connected and Autonomous Vehicles," Future Internet, MDPI, vol. 12(7), pages 1-3, July.

    More about this item

    Keywords

    V2X; 5G; QoS; system architecture;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:11:y:2019:i:10:p:217-:d:278391. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.