Advanced Resource Management Strategies for Next-Generation 6G Autonomous Vehicular Networks
- Authors
- Elsharief, Mahmoud; Sabuj, Saifur Rahman; Jo, Han-Shin
- Issue Date
- Jan-2025
- Publisher
- IEEE Computer Society
- Keywords
- 6G-V2X; NR-V2X; resource allocation
- Citation
- International Conference on ICT Convergence, pp 607 - 608
- Pages
- 2
- Indexed
- SCOPUS
- Journal Title
- International Conference on ICT Convergence
- Start Page
- 607
- End Page
- 608
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/206737
- DOI
- 10.1109/ICTC62082.2024.10827047
- ISSN
- 2162-1233
2162-1241
- Abstract
- The development of six-generation vehicle-to-everything (6G-V2X) networks is expected to improve the domain of autonomous systems by significantly enhancing vehicle reliability. An important challenge in the design of 6G-V2X systems is the efficient allocation of resources. Resource allocation is essential for facilitating reliable communication between vehicles and other network elements. This paper presents advanced resource management strategies for 6G-V2X networks (ARM6G). The AMR6G exhibits potential for enhancement of the resource allocation scheme by sharing the status of each resource. It significantly minimizes the collision probability of the system. The simulation results show that AMR6G performs better than new radio V2X (NR-V2X) Mode 2 regarding the collision probability. The results show that the ARM6G reduces the collision probability approximately 24% compared to NR-V2X Mode 2. Furthermore, the results demonstrate the possibility of realizing the minimum value of collision probability.
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Collections - 서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

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