Resource Allocation Based Performance Analysis for 5G Vehicular Networks in Urban Areas
Abstract
In this paper, we investigate network performance for vehicle-to-everything (V2X) communications in 5G vehicular networks. The V2X communications enable various services included in the latest standard released by the Third Generation Partnership Project (3GPP). In V2X communications, resource allocation plays a crucial role to exchange information between vehicles and other equipment. To evaluate its influence on network performance, we firstly develop a network model for V2X communications in urban areas, and then various services are considered in the model. Simulation results reveal that the dynamic resource allocation specified in the current standard, while able to avoid transmission collisions, cannot provide guaranteed services needed by intelligent transportation systems (ITS), especially for the enhanced V2X services in urban areas. Consequently, a location-aware resource allocation (LARA) strategy is proposed to tackle the discovered issues. Compared with its standard counterpart, the proposed approach can effectively improve the resource utilization and boost the network performance.
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Position-based resource management optimizes resource allocation based on the geographical positions of vehicles by dividing the network into non-overlapping clusters, with objectives to maximize total throughput and ensure fair resource allocation.
“Position-based resource management [117], [9], [118] is a specialized approach designed for 6G V2X sidelink communication, which optimizes resource allocation based on the geographical positions of the vehicles.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [117]
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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
- Authors
- Zhang, M., Kumar, A., Chong, P. H. J., Chan, H. C. B., & Seet, B.-C.
- Affiliations
- Auckland University of Technology (NZ)
- National Institute of Technology Rourkela (IN)
- Hong Kong Polytechnic University (HK)
- Venue
- 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)
- Publisher
- IEEE
- Published
- 2020-04
- Pages
- 1-6
- OpenAlex
- W3037915331
- Cited by
- 11
- References
- 0
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 3
- FWCI
- 2.46
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Wireless Communications and Networking Conference Workshops (WCNCW) (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 › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- vehicle-to-everything communication, 5G vehicular networks, resource allocation, urban vehicular networks, intelligent transportation systems, network performance, dynamic resource allocation, resource utilization
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