Cooperative Resource Status Exchange for Reliable Vehicular Sidelink Broadcasts
- Authors
- Elsharief, Mahmoud; Rahman Sabuj, Saifur; Kwon, Sean; Jo, Han-Shin
- Issue Date
- Mar-2026
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Resource management; Sidelink; Reliability; Vehicle-to-everything; Sensors; Intelligent transportation systems; Games; Safety; Rail to rail inputs; 3GPP; autonomous resource allocation; NR-V2X; sidelink; vehicle-to-everything; connected and automated vehicles; resource status exchange; PRR; game theory
- Citation
- IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, v.7, pp 771 - 786
- Pages
- 16
- Indexed
- SCOPUS
ESCI
- Journal Title
- IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
- Volume
- 7
- Start Page
- 771
- End Page
- 786
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/214927
- DOI
- 10.1109/OJITS.2026.3671296
- ISSN
- 2687-7813
2687-7813
- Abstract
- Vehicular sidelink communications are essential to autonomous driving, yet broadcast reliability under distributed operation remains constrained by collisions and inefficient resource use. The third-generation partnership project (3GPP) has defined a new radio (NR) for vehicle-to-everything (V2X) Mode 2 for autonomous resource reservation and selection. An important challenge in the design of NR-V2X systems is the efficient allocation of resources. Resource allocation facilitates reliable communication between user equipment (UEs) and other network elements. A cooperative approach among UEs is required to ensure reliable resource allocation and communication in such networks. This paper presents cooperative resource status exchange (CRSE), a cooperative scheme that augments autonomous sidelink broadcasts by disseminating a compact resource status map in each packet. It significantly maximizes the packet reception ratio (PRR) and resource utilization. In addition, CRSE integrates game theory to provide a sophisticated method for analyzing and optimizing resource selection strategies among UEs. The analytical model and simulation results show that CRSE performs better than new radio NR-V2X Mode 2, UE-scheduling, and short-term sensing-based resource selection (STS-RS) in terms of PRR and successful transmission rate. The results show that CRSE improves the PRR by approximately 24.6%, 15.2%, and 12.3% over NR-V2X, UE-scheduling, and STS-RS, respectively. Furthermore, the results demonstrate the possibility of realizing the maximum value of PRR and a successful transmission rate.
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