On the Impact of Re-evaluation in 5G NR V2X Mode 2
Open accessAbstract
5G NR V2X has been designed to support advanced connected and automated driving V2X services. These services are characterized by variable traffic patterns that can generate packet collisions in decentralized systems where vehicles autonomously select their radio resources like 5G NR V2X mode 2. 5G NR V2X introduces a re-evaluation mechanism at the MAC layer to detect and avoid possible packet collisions before a vehicle transmits in selected resources. Most of the studies conducted to date on 5G NR V2X do not consider the re-evaluation mechanism despite being a mandatory MAC feature. This paper advances the state of the art with an in-depth analysis and evaluation of the operation and performance of re-evaluation in 5G NR V2X mode 2 under different traffic patterns and mode 2 configurations. The study shows that re-evaluation is effective in avoiding collisions with periodic traffic but its effectiveness decreases with aperiodic traffic and of variable size. The study also shows that re-evaluation is effective in avoiding collisions generated by the retransmission of packets. However, its overall impact on the performance of 5G NR V2X mode 2 is small, while it can have a relevant implementation cost due to the frequent re-evaluation checks and resource reselections. This raises questions on the current design of the re-evaluation mechanism that is a mandatory feature in 5G NR V2X mode 2.
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Research works printed but not linked: 10
- M. H. C. Garcia, A. Molina-Galan, M. Boban, J. Gozalvez, B. Coll- Perales, T. Sahin, and A. Kousaridas, "A Tutorial on 5G NR V2X Communications", IEEE Communications Surveys & Tutorials, vol. 23, no.3, pp.1972-2026, Feb. 2021.
- L. Lusvarghi and M. L. Merani, "On the Coexistence of Aperiodic and Periodic Traffic in Cellular Vehicle-to-Everything," IEEE Access, vol. 8, pp. 207076-207088, 2020.
- R. Molina-Masegosa, J. Gozalvez and M. Sepulcre, "Comparison of IEEE 802.11p and LTE-V2X: An Evaluation with Periodic and Aperiodic Messages of Constant and Variable Size," IEEE Access, vol. 8, pp. 121526-121548, July 2020.
- L. Lusvarghi and M. L. Merani, "Machine Learning for Disseminating Cooperative Awareness Messages in Cellular V2V Communications," IEEE Transactions on Vehicular Technology, vol. 71, no. 7, pp. 7890- 7903, July 2022.
- Z. Ali, S. Lagén, L. Giupponi and R. Rouil, "3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation," IEEE Access, vol. 9, pp. 89554-89579, Nov. 2021.
- V. Todisco, S. Bartoletti, C. Campolo, A. Molinaro, A. O. Berthet and A. Bazzi, "Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator," IEEE Access, vol. 9, pp. 145648-145661, Oct. 2021.
- C. Campolo, V. Todisco, A. Molinaro, A. Berthet, S. Bartoletti and A. Bazzi, "Improving Resource Allocation for beyond 5G V2X Sidelink Connectivity," Proceedings of the 2021 55th Asilomar Conference on Signals, Systems, and Computers, Nov. 2021, pp. 55-60.
- M. Muhammad Saad, M. Ashar Tariq, M. Mahmudul Islam, M. Toaha Raza Khan, J. Seo and D. Kim, "Enhanced Semi-persistent scheduling (e- SPS) for Aperiodic Traffic in NR-V2X," Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Feb. 2022, pp. 171-175.
- A. Molina-Galan, B. Coll-Perales, L. Lusvarghi, J. Gozalvez and M.L. Merani, "How Does 5G NR V2X Mode 2 Handle Aperiodic Packets and Variable Packet Sizes?", Proceedings of the 2022 IEEE 23rd International Conference on High-Performance Switching and Routing (HPSR 2022), Taicang, Jiangsu, China, 6-8 June 2022, virtual conference.
- M. Gonzalez-Martín, M. Sepulcre, R. Molina-Masegosa and J. Gozalvez, "Analytical Models of the Performance of C-V2X Mode 4 Vehicular Communications," IEEE Transactions on Vehicular Technology, vol. 68, no. 2, pp. 1155-1166, Feb. 2019.
Cited by
Sorted by citations
A comparative analysis of the semi-persistent and dynamic scheduling schemes in NR-V2X mode 2
Lusvarghi, L., Molina-Galan, A., Coll-Perales, B., Gozalvez, J., & Merani, M. L. (2023) · Vehicular Communications · doi:10.1016/j.vehcom.2023.100628 · Cited by 29 · see citing works
Self-citationLi, Z., Wang, P., Shen, Y., & Li, S. (2025) · Sensors · doi:10.3390/s25020302 · Cited by 15 · see citing works
- Authors
- Lusvarghi, L., Molina-Galan, A., Coll-Perales, B., Gozalvez, J., & Merani, M. L.
- Affiliations
- Universitat de Miguel Hernández d'Elx (ES)
- Corresponding author
- Lusvarghi, Luca
- Published
- 2023-09-21
- OpenAlex
- W4386917232
- Cited by
- 2
- References
- 0
- Citations by year
- 2024: 1 · 2023: 1
- Type
- posted content
- Language
- en
- Open access
- green
- dx.doi.org
- Funders
- Generalitat Valenciana (501100011033, CIGE/2021/096, MCIN/AEI/10.13039/501100011033/)
- Agencia Estatal de Investigación (AEI//10.13039/501100011033/, 501100011033, 10.13039/501100011033, MCIN/AEI/10.13039/501 100 011 033, 13039, .13039/501100011033, 10.13039, AEI/10)
- Ministerio de Universidades
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
- Keywords
- 5G NR-V2X, MAC layer, packet collision avoidance, connected and automated driving, traffic patterns, packet retransmission, implementation costs
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