Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks
January 14, 2025 ยท Declared Dead ยท ๐ 2025 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT)
Repo contents: Enhanced-SPS-Velocity-adaptive-Scheme-Access-Fairness-in-5G-NR-V2I-Networks.7z
Authors
Xiao Xu, Qiong Wu, Pingyi Fan, Kezhi Wang
arXiv ID
2501.08037
Category
cs.LG: Machine Learning
Cross-listed
cs.NI
Citations
2
Venue
2025 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT)
Repository
https://github.com/qiongwu86/Enhanced-SPS-Velocity-adaptiveScheme-Access-Fariness-in-5G-NR-V2I-Networks
โญ 1
Last Checked
1 month ago
Abstract
Vehicle-to-Infrastructure (V2I) technology enables information exchange between vehicles and road infrastructure. Specifically, when a vehicle approaches a roadside unit (RSU), it can exchange information with the RSU to obtain accurate data that assists in driving. With the release of the 3rd Generation Partnership Project (3GPP) Release 16, which includes the 5G New Radio (NR) Vehicle-to-Everything (V2X) standards, vehicles typically adopt mode-2 communication using sensing-based semi-persistent scheduling (SPS) for resource allocation. In this approach, vehicles identify candidate resources within a selection window and exclude ineligible resources based on information from a sensing window. However, vehicles often drive at different speeds, resulting in varying amounts of data transmission with RSUs as they pass by, which leads to unfair access. Therefore, it is essential to design an access scheme that accounts for different vehicle speeds to achieve fair access across the network. This paper formulates an optimization problem for vehicular networks and proposes a multi-objective optimization scheme to address it by adjusting the selection window in the SPS mechanism of 5G NR V2I mode-2. Simulation results demonstrate the effectiveness of the proposed scheme
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