Enhanced Sensing-Based Resource Scheduling Algorithm for 5G V2V Communications
Abstract
Vehicle-to-vehicle (V2V) communication is regarded as a promising technology in the intelligent transportation system to improve road safety and traffic efficiency. The most widely used resource scheduling algorithm inV2V communications is sensing-based semi-persistent scheduling (SPS) algorithm. However, traditional sensing-based SPS algorithm is challenged by lack of resource preemption and reselection mechanisms to satisfy the diverse performance requirements of the fifth generation (5G)V2V services. In this paper, an enhanced sensing-based resource scheduling algorithm is proposed for 5G V2V communications. Specifically, in order to guarantee the stringent performance requirements of the V2V services with higher priorities, a priority-based resource preemption mechanism is given. Then, a resource sensing and one-shot reselection mechanism is proposed to avoid resource collision of diverse services. The system level simulation results suggest that the proposed algorithm outperforms traditional sensing-based SPS algorithm, and the maximum gain of average packet reception ratio can achieve 5% in highway case.
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The UE autonomously selects transmission resources based on sensing results and the (pre-)configured resource pool.
“The UE autonomously selects transmission resources based on sensing results and the (pre-)configured resource pool [83] [84].”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [84]
Partial sensing can be categorized into periodic-based partial sensing (PBPS) and contiguous partial sensing (CPS).
“Partial sensing can be further categorized into two approaches: periodic-based partial sensing (PBPS) and contiguous partial sensing (CPS) [84], [92].”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [84]
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Annu, & Rajalakshmi, P. (2024) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2024.3368240 · Cited by 73 · see citing works
Reuse Distance-Aided Resource Selection Mechanisms for NR-V2X Sidelink Communication
Yin, J., & Hwang, S.-H. (2023) · Sensors · doi:10.3390/s24010253 · Cited by 14 · see citing works
- Authors
- Wen, X., Peng, M., Zhang, X., Yan, S., & Li, Y.
- Affiliations
- Beijing University of Posts and Telecommunications (CN)
- Venue
- 2019 IEEE/CIC International Conference on Communications in China (ICCC)
- Publisher
- IEEE
- Published
- 2019-08
- Pages
- 395-400
- OpenAlex
- W2978429620
- Cited by
- 6
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 2 · 2022: 2
- FWCI
- 0.80
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE/CIC International Conference on Communications in China (ICCC) (publishedVersion)
- 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 › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Keywords
- vehicle-to-vehicle communication, 5G, resource scheduling, semi-persistent scheduling, resource preemption, priority scheduling, packet reception rate, intelligent transportation systems
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