Cross-Cell User Association and Resource Allocation in mmWave High-Speed Railway to Ground Communications

With the rapid advancement of intelligent railway systems, a high-quality train-ground communication system is crucial. However, ensuring reliable wireless communication in ultra-high-speed environments remains a significant challenge due to severe Doppler effects, frequent inter-cell handovers, and diverse QoS demands. Existing solutions, such as soft/hard handover schemes, lack the flexibility to adapt to dynamic conditions, leading to service interruptions and suboptimal performance. In this paper, we propose a dynamic resource allocation strategy based on dual base station coordination, utilizing millimeter-wave (mmWave) technology and real-time train position prediction. This approach dynamically optimizes user association and spectrum allocation to accommodate the rapid movement of trains, reducing service interruptions and ensuring continuous high-quality communication. Simulation results show that our algorithm improves system QoS satisfaction by 37.5%-68.8% and achieves spectrum utilization rates between 76% and 90%, outperforming the comparison schemes. These results validate the effectiveness of our approach in addressing high-speed mobility challenges.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-07-14
DOI
https://doi.org/10.1109/jiot.2025.3589094
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
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article

Cross-Cell User Association and Resource Allocation in mmWave High-Speed Railway to Ground Communications

Yong Niu, Zhu Han, Lei Xiong, Hao Wu et al.
IEEE Internet of Things Journal
Millimeter-Wave Propagation and Modeling
article

Cross-Cell User Association and Resource Allocation in mmWave High-Speed Railway to Ground Communications

Yong Niu, Zhu Han, Lei Xiong, Hao Wu, Panpan Li, Ning Wang, Bo Ai
article en

Abstract

With the rapid advancement of intelligent railway systems, a high-quality train-ground communication system is crucial. However, ensuring reliable wireless communication in ultra-high-speed environments remains a significant challenge due to severe Doppler effects, frequent inter-cell handovers, and diverse QoS demands. Existing solutions, such as soft/hard handover schemes, lack the flexibility to adapt to dynamic conditions, leading to service interruptions and suboptimal performance. In this paper, we propose a dynamic resource allocation strategy based on dual base station coordination, utilizing millimeter-wave (mmWave) technology and real-time train position prediction. This approach dynamically optimizes user association and spectrum allocation to accommodate the rapid movement of trains, reducing service interruptions and ensuring continuous high-quality communication. Simulation results show that our algorithm improves system QoS satisfaction by 37.5%-68.8% and achieves spectrum utilization rates between 76% and 90%, outperforming the comparison schemes. These results validate the effectiveness of our approach in addressing high-speed mobility challenges.

IEEE Internet of Things JournalVol. 12(19)
Beijing Jiaotong University (CN), Zhengzhou University (CN), University of Houston (US)
Openalex Percentile: Top 85%
Millimeter-Wave Propagation and Modeling
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Cross-Cell User Association and Resource Allocation in mmWave High-Speed Railway to Ground Communications — Yong Niu, Zhu Han, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS