A Flexible Numerology Configuration for Efficient Resource Allocation in 3GPP V2X 5G New Radio
Abstract
Low latency and high-reliability communications for applications' flows is one of the main 5G cellular network objective, which is especially relevant for connected autonomous vehicles. However, efficient wireless resource allocation is a complex. To address this problem in this paper, we propose to adapt the physical (PHY) layer numerology configuration by fine-tuning it with Adaptive PHY Layer Configuration (APC) algorithm in aim to maximize the Effective Transmitted Packet (ETP). Besides, we propose an adaptive scheme to maximize the expected packet serving rate while avoiding the starvation phenomenon of low priority Logical Channels (LC). Based on extensive simulations, results show that our proposal achieves good performance in terms of ETP maximization and starvation minimization of low priority LCs.
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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 [72]
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 [72]
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Yang, C., Kwong, C. F., Chieng, D., Kar, P., Yau, K.-L. A., & Chen, Y. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3440033 · Cited by 33 · see citing works
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].”
Influential
- 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
- GLOBECOM 2022 - 2022 IEEE Global Communications Conference
- Publisher
- IEEE
- Published
- 2022-12-04
- Pages
- 4449-4454
- ISSN
- 1930-529X (ISSN-L)
- OpenAlex
- W4315629871
- Cited by
- 7
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 1
- FWCI
- 2.43
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Globecom (publishedVersion)
- HAL (submittedVersion)
- 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 › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- 5G NR, connected and autonomous vehicles, wireless resource allocation
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