Improving NR-V2X Autonomous Mode Through Resource Re-Evaluation
Abstract
In the context of 5G Vehicle-to-Everything (V2X) autonomous mode, 3GPP introduced a resource re-evaluation mechanism to reduce collision occurrences. This mechanism requires stations to perform an additional check for available resources before transmission, to detect possible late-arriving reservations from other stations. The findings of this paper confirm that, while mandatory, the resource re-evaluation brings minimal performance enhancements to the overall system. Building upon this observation, the paper proposes a standard-compliant resource allocation mechanism named Double Initial Transmission (DIT), which leverages the resource re-evaluation more effectively. Focusing on scenarios with prevalent periodic traffic, the paper introduces an innovative approach: the first packet within a sequence of periodic packets is transmitted twice, utilizing two different resources. The first transmission reserves a resource for the subsequent one. After transmitting the first packet, the resource used for its initial transmission is released, while the second resource is reserved periodically for the following packets. This strategy significantly reduces the probability of periodic collisions and has a minimal impact on the overall channel occupation. Furthermore, in instances of potential collisions on the second resource, the re-evaluation mechanism conducted before transmission serves as a proactive measure, detecting and addressing conflicts before they occur. The paper aims to provide an analysis of this modified resource allocation strategy and its implications for improving the performance of 5G NR-V2X, particularly in the context of periodic traffic scenarios.
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Despite its mandatory requirement in rel16, only a few works incorporate a re-evaluation feature for mode 2 scheduling.
“Despite its mandatory requirement in rel16, only a few works incorporate a re-evaluation feature for mode 2 scheduling, such as in [61], [62], [63].”
From Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey (2025) · cites this paper as [63]
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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
“Despite its mandatory requirement in rel-16, only a few works incorporate a re-evaluation feature for mode 2 scheduling, such as in [61], [62], [63].”
Performance Evaluation of 5G New Radio V2X Sidelink for Coexisting Traffic
Guerra, J., Luís, M., & Rito, P. (2025) · IEEE Access · doi:10.1109/access.2025.3590868 · Cited by 4 · see citing works
- Authors
- Todisco, V., Wu, Z., & Bazzi, A.
- Affiliations
- University of Bologna (IT)
- Consorzio Nazionale Interuniversitario per le Telecomunicazioni (IT)
- Venue
- 2024 IEEE Vehicular Networking Conference (VNC)
- Publisher
- IEEE
- Published
- 2024-05-29
- Pages
- 125-131
- OpenAlex
- W4400231788
- Cited by
- 8
- References
- 0
- Citations by year
- 2026: 4 · 2025: 4
- FWCI
- 6.13
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Vehicular Networking Conference (VNC) (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- 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, autonomous driving, resource allocation, periodic traffic, collision avoidance, vehicle-to-everything communication
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