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Performance Analysis of C-V2X Mode 4 Communication Introducing an Open-Source C-V2X Simulator

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TLDR
In this article, the authors present an open source C-V2X mode 4 simulator based on the discrete-event network simulator ns-3, which is used by 3GPP.
Abstract
Autonomous vehicles, on the ground and in the air, are the next big evolution in human mobility. While autonomous driving in highway scenarios is already possible using only the vehicles sensors, the complex scenarios of big cities with all its different traffic participants is still a vision. Cellular Vehicle-to-Everything (C-V2X) communication is a necessary enabler of this vision and and an emerging field of interest in today's research. However, to the best of our knowledge open source simulators essential for open research do not exist yet. In this work we present our open source C-V2X mode 4 simulator based on the discrete-event network simulator ns-3. To analyze the performance of C-V2X mode 4 using our simulator, we created a worst case scenario and the 3GPP reference Manhattan grid scenario using the microscopic traffic simulator SUMO. We also added the WINNER+ B1 channel model to ns-3, as this is also used by 3GPP. Our results show, that C-V2X is scalable to 250 vehicles within a worst case scenario on a playground of 100 m x 100 m, with respect to the LTE rel. 14 V2X requirements. For the more realistic Manhattan grid scenario, the performance is better, as to be expected. We also analyzed the Packet Inter-Reception time with an outcome of max. 100 ms for more than 99 % of all transmissions. In addition, we investigated the impact of the Resource Reservation Period and the Resource Reselection Probability on the system's Packet Reception Ratio.

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Citations
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Journal ArticleDOI

Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator

TL;DR: In this article, the authors conduct a comprehensive analysis of Mode 2 performance via an open-source system-level simulator, which implements the 5G New Radio (NR) flexible numerology and physical layer aspects together with the newly specified sidelink resource allocation modes for V2X communications and different data traffic patterns.
Journal ArticleDOI

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

TL;DR: In this paper, the authors analyze the main streams of the cellular-vehicle-to-everything (C-V2X) technology evolution within the Third Generation Partnership Project (3GPP), with focus on the sidelink air interface.
Journal ArticleDOI

3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation

TL;DR: In this paper, the authors provide a complete history of sidelink technology in 3GPP followed by a detailed overview of NR V2X technology, with special emphasis on Mode 2 for out of coverage operation and autonomous resource selection.
Proceedings ArticleDOI

Lightweight Simulation of Hybrid Aerial- and Ground-Based Vehicular Communication Networks

TL;DR: A lightweight framework for integrated simulation of aerial and ground-based vehicular networks is presented and the performance of Long Term Evolution (LTE) and Cellular Vehicle-to-Everything (C-V2X) for connecting the ground- and air-based vehicles is compared.
Proceedings ArticleDOI

Spatio-Temporal Dynamics of Cellular V2X Communication in Dense Vehicular Networks

TL;DR: In this article, the authors investigated the effectiveness of the congestion control algorithm in dense vehicular ad hoc networks (VANETs) in terms of settling time, stability, and reliability to be employed for the purpose of safety-critical vehicular applications, where latency plays a major role.
References
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Proceedings ArticleDOI

Microscopic Traffic Simulation using SUMO

TL;DR: The latest developments concerning intermodal traffic solutions, simulator coupling and model development and validation on the example of the open source traffic simulator SUMO are presented.
Proceedings ArticleDOI

IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments

TL;DR: An overview of the latest draft proposed for IEEE 802.11p, named wireless access in vehicular environment, also known as WAVE, is provided to provide an insight into the reasoning and approaches behind the document.
Book ChapterDOI

WINNER II Channel Models

TL;DR: In this article, the authors present an introduction to channel models and channel models, and a discussion of channel model usage and models and models' models' parameters. But this chapter contains sections titled: Introduction Modelling Considerations Channel Modelling Approach Channel Models and Parameters Channel Model Usage Conclusion
Proceedings ArticleDOI

Vehicle-to-vehicle safety messaging in DSRC

TL;DR: The results show the approach proposed is feasible for vehicle safety messages in DSRC and is compatible with the Dedicated Short Range Communications (DSRC) multi-channel architecture.
Journal ArticleDOI

Design of 5.9 ghz dsrc-based vehicular safety communication

TL;DR: This article provides an overview of DSRC based vehicular safety communications and proposes a coherent set of protocols to address these requirements.
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