An investigation study of 5G NR V2X Mode 2 in aperiodic traffic

Journal of Educational and Learning Studies September 03, 2024 Volume 7, Number 1 3 authors

Abstract

The rapid advancement of digital technology has fueled growth in vehicle networking, enabling wireless communication between vehicles. More vehicle use cases for networked vehicles have recently been planned but are not concerned with road safety. To serve advanced use cases for connected autonomous driving applications demanding reliability and latency requirements, 5G NR Vehicle to Everything (V2X) developed as a major enabler. This paper aims to investigate the aperiodic data traffic types in 5G NR V2X resource allocation in Mode 2 using the Sensing Base Semi-Persistent Scheduling (SB SPS). A thorough simulation-based analysis was conducted to collect the results, specifically focusing on the correlation between the Packet Reception Ratio (PRR) and the dual factors of traffic density and distance. The simulations showed that higher vehicle density led to more traffic, increasing the risk of collisions and interference. As a consequence of this, PRRs dropped across the range. Hence, a suggestion for further research involves utilizing machine learning algorithms to analyze traffic patterns and demands, which can help in allocating resources more proactively.

Authors

  1. Norzilawati Abdullah

    Politeknik Kuala Terengganu

  2. Norlia Embong

    Politeknik Kuala Terengganu

  3. Engku Nor Zatun Najhah Binti Kurasli

    Politeknik Kuala Terengganu

Keywords

No keywords available

References

  1. Bazzi, A. O. Berthet, C. Campolo, B. M. Masini, A. Molinaro and A. Zanella, "On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future," in IEEE Access, vol. 9, pp. 97953-97980, 2021, doi: 10.1109/ACCESS.2021.3094161
  2. Campolo, C., Todisco, V., Molinaro, A., Berthet, A., Bartoletti, S., & Bazzi, A. (2021).
  3. Improving Resource Allocation for beyond 5G V2X Sidelink Connectivity. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2021-Octob, 55–60. https://doi.org/10.1109/IEEECONF53345.2021.9723155
  4. Garcia-Roger, D., González, E. E., Martin-Sacristan, D., & Monserrat, J. F. (2020). V2X Support in 3GPP Specifications: from 4G to 5G and Beyond. IEEE Access, 8, 1-1. https://doi.org/10.1109/ACCESS.2020.308621
  5. Kim, Y., Kim, Y., Oh, J., Ji, H., Yeo, J., Choi, S., Ryu, H., & Noh, H. (2020). Industry Perspectives (NR). IEEE Wireless Communications, 26(c), 2-7
  6. McCarthy, B., Burbano-Abril, A., Licea, V. R., & O’Driscoll, A. (2021). OpenCV2X: Modelling of the V2X Cellular Sidelink and Performance Evaluation for Aperiodic Traffic. http://arxiv.org/abs/2103.13212 Study Enhancement 3GPP Support for 5G V2X Services (Release 16), v16.2.0, document 3GPP TR 22.886, Dec. 2018.
  7. Study on Scenarios and Requirements for Next Generation Access Technologies, document
  8. 3GPP TR 38.913, v.14.0.0, Oct. 2016. Study on Vehicle-to-Everything (V2X) services (Release 15), documented 3GPP TR 22.886: Dec 2018
  9. S. Yi, G. Sun, and X. Wang, "Enhanced resource allocation for 5G V2X in congested smart intersection," in Proc. IEEE 92nd Veh. Technol. Conf. (VTC-Fall), 2020, pp. 1–5.
  10. Todisco, V., Bartoletti, S., Campolo, C., Molinaro, A., Berthet, A. O., & Bazzi,A. (2021). Performance
  11. Analysis of Sidelink 5G-V2X Mode 2 through an Open-Source Simulator. IEEE Access, 9, 145648–145661. https://doi.org/10.1109/ACCESS.2021.3121151 TSG RAN; NR; Physical layer; General Description, Release 15, v16.0.0, document 3GPP TS 38.201, Jan. 2020
  12. World Health Organization. (2023). Global Status Report on Road Safety 2023. Retrieved from https://www.who.int/teams/social-determinants-of-health/safety-and-mobility/global-status-report-on-road-safety-2023
  13. Z. Ali, S. Lagén, and L. Giupponi, "On the impact of numerology in 5G NR V2X mode 2 with
  14. Sensing and no-sensing resource selection," 2021, arXiv:2106.15303.