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. 2022 Dec 7;22(24):9570.
doi: 10.3390/s22249570.

Performance Analysis of Existing ITS Technologies: Evaluation and Coexistence

Sassi Maaloul  1   2 , Hasnaa Aniss  1 , Leo Mendiboure  1 , Marion Berbineau  3
Affiliations

Performance Analysis of Existing ITS Technologies: Evaluation and Coexistence

Sassi Maaloul et al. Sensors (Basel). .

Abstract

The performance of vehicular communication technologies changes dynamically according to the application requirements considering data rate, communication ranges, latency, etc. These applications are evolving rapidly and should enhance intelligent transport systems (ITS) such as road safety and automated driving. However, to reach the required quality, these applications need many radio resources to carry the potential traffic load resulting from the environmental perception and data exchanged between the different entities. Therefore, an assessment of vehicular communication technologies' reliability and resilience under these conditions is required to address the multiple challenges of the ITS services. The paper's main contribution is to propose a comprehensive analysis model able to evaluate and compare the performances of ITS technologies according to different constraints related to environment-changing situations. This analysis examines the channel occupancy and provides simulation results which allow the identification of the suitable configurations and the most appropriate technology for a given use case. We also propose a coexistence solution between these technologies based on density-sharing according to the use case requirements and the availability of the technology. Finally, we present the challenge of adaptive configuration in vehicular networks, which helps to provide the optimal structure through road profiles and environment variability (infrastructure, data, etc.). Results show different trade offs and limitations between the considered ITS technologies, which are essential to understand their behaviour in a realistic environment.

Keywords: ITS technologies; adaptive-configuration; co-existence; performance evaluation; vehicular networks.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Vehicular communications.
Figure 2
Figure 2
NR-V2X time–frequency structure.
Figure 3
Figure 3
ITS-G5 packet delay for 100% of the generated packet.
Figure 4
Figure 4
Evaluation for ITS-G5 technology (packet size 350 bytes).
Figure 5
Figure 5
Evaluation for ITS-G5 technology (packet size 800 bytes).
Figure 6
Figure 6
Evaluation for ITS-G5 technology (packet size 1200 bytes).
Figure 7
Figure 7
Update delay and date age for LTE-V2X.
Figure 8
Figure 8
Evaluation for LTE-V2X technology (packet size 350 bytes).
Figure 9
Figure 9
Evaluation for LTE-V2X technology (packet size 800 bytes).
Figure 10
Figure 10
Evaluation for LTE-V2X technology (packet size 1200 bytes).
Figure 11
Figure 11
ITS-G5 vs. LTE-V2X comparison for packet size 350 bytes.
Figure 12
Figure 12
ITS-G5 vs. LTE-V2X comparison for packet size 800 bytes.
Figure 13
Figure 13
ITS-G5 vs. LTE-V2X comparison for packet size 1200 bytes.
Figure 14
Figure 14
Frequency band for ITS technologies.
Figure 15
Figure 15
Coexistence LTE-V2X/ITS-G5: density sharing for different packet sizes.
Figure 16
Figure 16
Coexistence LTE-V2X/ITS-G5: density sharing for packet size 1200 B.
Figure 17
Figure 17
Example of mixed traffic (combined with CAM, DENM, CPM) for ITS-G5.
Figure 18
Figure 18
Sequence diagram for reconfiguration diffusion from a vehicle and infrastructure.
See this image and copyright information in PMC

References

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    1. 3GPP TR 38.885, NR; Study on NR Vehicle-to-Everything (V2X); V16.0.0, Rel-16. Tech. Rep. 2019

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