A Novel Radio-Aware and Adaptive Numerology Configuration in V2X 5G NR Communications
Open accessAbstract
As the main goal of connected autonomous vehicles' communications is to improve the traffic safety and save lives, any design of a resource allocation scheme must consider the stringent requirements of these applications in terms of latency and reliability for a dynamic environment. For this, 5G cellular networks suitably address these challenges. This paper proposes a new mechanism for the telco operator to adapt the physical (PHY) layer configuration for efficient radio resource management in 5G New Radio (NR) based system. To tackle this issue, we propose to adjust the PHY layer numerology configuration by fine-tuning it with a Radio-Aware Adaptive PHY Layer Configuration (RA-APC) algorithm in order to maximize the efficiency of radio resource management by using the Effectively Transmitted Packet (ETP) value. Extensive simulations show that our proposal RA-APC achieves strong improvements in terms of ETP, reliability and latency while considering safety and non-safety traffic scenarios.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Incorporating flexible numerology features into the 5G NR-V2X resource allocation scheme enables simultaneous consideration of time and frequency domain in the resource allocation strategy.
“Incorporating flexible numerology features into the 5G NR-V2X resource allocation scheme also enables simultaneous consideration of time and frequency domain in the resource allocation strategy as presented in [72], [73].”
From Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey (2025) · cites this paper as [73]
Flexible numerology provides robustness against channel variations by adjusting the physical layer waveform to different channel conditions, leading to improved reliability.
“It is also worth noting that the flexible numerology in [72], [73] provides robustness against channel variations by adjusting the physical layer waveform to different channel conditions. Consequently, it leads to improved reliability.”
From Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey (2025) · cites this paper as [73]
Cites
Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator
Todisco, V., Bartoletti, S., Campolo, C., Molinaro, A., Berthet, A. O., & Bazzi, A. (2021) · IEEE Access · doi:10.1109/access.2021.3121151 · Cited by 124 · see citing works
Design and Analysis of a Short-Term Sensing-Based Resource Selection Scheme for C-V2X Networks
He, X., Lv, J., Zhao, J., Hou, X., & Luo, T. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2996958 · Cited by 81 · see citing works
5G NR V2X: On the Impact of a Flexible Numerology on the Autonomous Sidelink Mode
Campolo, C., Molinaro, A., Romeo, F., Bazzi, A., & Berthet, A. O. (2019) · IEEE 5G World Forum (5GWF) · doi:10.1109/5gwf.2019.8911694 · Cited by 62 · see citing works
A Vehicle Density based Two-Stage Resource Management Scheme for 5G-V2X Networks
Abbas, F., Liu, G., Fan, P., Khan, Z., & Bute, M. S. (2020) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2020-spring48590.2020.9129179 · Cited by 24 · see citing works
Cluster-Based Resource Selection Scheme for 5G V2X
Zhao, J., He, X., Wang, H., Zheng, X., Lv, J., Luo, T., & Hou, X. (2019) · IEEE Vehicular Technology Conference · doi:10.1109/vtcspring.2019.8746637 · Cited by 20 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey
Bin Ali Wael, C., Hadj Dogheche, E., Armi, N., Subekti, A., & Dayoub, I. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3584024 · Cited by 10 · see citing works
“Incorporating flexible numerol-ogy features into the 5G NR-V2X resource allocation scheme also enables simultaneous consideration of time and frequency domain in the resource allocation strategy as presented in [72], [73].”
InfluentialDeTrAP: A Novel AI/ML V2X 5G NR Adaptive Physical Layer Configuration
Nguyen, T.-S.-L., Kallel, S., & Aitsaadi, N. (2023) · Globecom · doi:10.1109/globecom54140.2023.10437042 · Cited by 2 · see citing works
Self-citationHasan, N., Kumar, A., & Kataoka, K. (2025) · doi:10.1109/comsnets63942.2025.10885748 · Cited by 1 · see citing works
Performance Evaluation of Flexible Access Layer Design for V2X Use Cases
Hasan, N., Kumar, A. S., & Kataoka, K. (2026) · IEEE International Black Sea Conference on Communications and Networking · doi:10.1109/blackseacom69760.2026.11598153
Abdelmoula, O., Bouchemal, N., Kallel, S., & Debbah, M. A. (2026) · International Conference on Communications · doi:10.1109/icc59461.2026.11587585
Self-citation
- Authors
- Nguyen, T.-S.-L., Kallel, S., Aitsaadi, N., Adjih, C., & Fajjari, I.
- Affiliations
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Inria Saclay,Palaiseau,France,F-91120
- Orange (France) (FR)
- Venue
- ICC 2023 - IEEE International Conference on Communications
- Publisher
- IEEE
- Published
- 2023-05-28
- Pages
- 1652-1657
- ISSN
- 1550-3607 (ISSN-L)
- OpenAlex
- W4387869893
- Cited by
- 5
- References
- 5
- Citations by year
- 2026: 2 · 2025: 2 · 2023: 1
- FWCI
- 2.45
- Type
- conference paper
- Language
- en
- Open access
- Locations
- International Conference on Communications (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- vehicle-to-everything communication, 5G NR, radio resource management, connected and autonomous vehicles, latency, reliability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
