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Priority-Driven Resource Allocation with Reuse for Platooning in 5G Vehicular Network
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Title
Priority-Driven Resource Allocation with Reuse for Platooning in 5G Vehicular Network
Issued Date
2025-02
Citation
Kim, Tae-Woo. (2025-02). Priority-Driven Resource Allocation with Reuse for Platooning in 5G Vehicular Network. Sustainability, 17(4). doi: 10.3390/su17041747
Type
Article
Author Keywords
5G mobile communicationvehiclesresource allocationwireless channelsautomated driving & intelligent vehicles
ISSN
2071-1050
Abstract
Recently, Vehicle-to-Everything (V2X) communication has emerged as a critical technology for enhancing the safety and traffic management of autonomous vehicles. Developing a resource allocation algorithm that enables autonomous vehicles to perceive and react to their surroundings in real time through fast and reliable communication is of paramount importance. This paper proposes a novel resource allocation algorithm that minimizes the degradation of communication performance for non-platoon vehicles while ensuring low-latency, high-reliability communication within vehicle platoons. The proposed algorithm prioritizes platoon vehicles and enhances resource efficiency by simultaneously applying interference-based and distance-based resource reuse techniques. Performance evaluations conducted using the Simu5G simulator demonstrate that the proposed algorithm consistently maintains the average resource allocation rate and delay for both platoon and non-platoon vehicles, even as the number of platoons increases. Specifically, in a congested environment with 60 general vehicles and five platoons, the proposed algorithm achieves an average resource allocation rate of over 90%, significantly outperforming existing algorithms such as Max-C/I, which achieves only 58%, and the priority-based algorithm with 54%, ensuring reliable communication for all vehicles. © 2025 by the authors.
URI
http://hdl.handle.net/20.500.11750/58153
DOI
10.3390/su17041747
Publisher
MDPI
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Park, Kyung-Joon박경준

Department of Electrical Engineering and Computer Science

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