@inproceedings{141f869dfd3c4e71995aecdc4b0693f1,
title = "OpenCV2X mode 4: A simulation extension for cellular vehicular communication networks",
abstract = "In this work the authors present the first publicly available, open-source simulation model of the Third Generation Partnership Project (3GPP) Release 14 Cellular Vehicle to Everything (C-V2X) standard. The model specifically addresses Mode 4, in which vehicles communicate directly in peer to peer mode using a distributed resource allocation algorithm. Importantly, the model is fully compliant with existing service and application layers already defined by the automotive and standards communities, providing a fully standardised cross-layer communication model spanning application layer based on the ITS-G5 standard to physical layer from the new C-V2X Mode 4 standard. This enables enhancements of the lower layers to support future vehicular use cases. The simulation model has been implemented by extending SimuLTE, an OMNeT++ cellular communication stack that enables simulation of LTE networks as well as extending and integrating Artery, an ETSI compliant ITS-G5 implementation. The developed model is validated using published 3GPP simulation evaluation scenarios and is available at www.cs.ucc.ie/cv2x.",
keywords = "3GPP, 4G, C-V2X, LTE-V, Sensing Based Semi-Persistent Scheduling (SB-SPS)",
author = "Brian McCarthy and Aisling O'Driscoll",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019 ; Conference date: 11-09-2019 Through 13-09-2019",
year = "2019",
month = sep,
doi = "10.1109/CAMAD.2019.8858436",
language = "English",
series = "IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019 - Proceedings",
address = "United States",
}