STAR-RIS Assisted Train-to-Ground Communications in Space-Air-Ground Integrated Networks

In the space-air-ground integrated network (SAGIN), high-speed railway (HSR) communication is expected to be enhanced by simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS). However, when both aerial platforms and ground base stations (BSs) provide services to HSR user equipments (UEs), severe signal interference can arise, leading to the system failing to meet the quality of service (QoS) requirements of the flows. In this paper, we introduce the optimization problem of transmission scheduling for STAR-RIS assisted train-to-ground communications in SAGIN. To address this issue, a phase optimization algorithm of passive STAR-RIS is proposed to improve the channel quality of HSR UEs. Furthermore, a coalition game algorithm is proposed to associate HSR UEs with the optimal links that minimize inter-flow interference. Finally, a QoS-aware flow scheduling algorithm is proposed to optimize the order of the flows for the selected links. Simulation results confirm that the proposed scheduling scheme effectively increases the number of completed flows and total transmitted bits for STAR-RIS assisted train-to-ground communications in SAGIN, outperforming traditional methods.

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Publication Details

Journal
IEEE Transactions on Communications
Published
2025-05-26
DOI
https://doi.org/10.1109/tcomm.2025.3573456
Citations
3
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
14.98
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article

STAR-RIS Assisted Train-to-Ground Communications in Space-Air-Ground Integrated Networks

Yong Niu, Lei Xiong, Zhangfeng Ma, Zhu Han et al.
3 citations
IEEE Transactions on Communications
Satellite Communication Systems
14.98
article

STAR-RIS Assisted Train-to-Ground Communications in Space-Air-Ground Integrated Networks

Yong Niu, Lei Xiong, Zhangfeng Ma, Zhu Han, Ning Wang, Bo Ai, Lei Liu
article en
3 citations

Abstract

In the space-air-ground integrated network (SAGIN), high-speed railway (HSR) communication is expected to be enhanced by simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS). However, when both aerial platforms and ground base stations (BSs) provide services to HSR user equipments (UEs), severe signal interference can arise, leading to the system failing to meet the quality of service (QoS) requirements of the flows. In this paper, we introduce the optimization problem of transmission scheduling for STAR-RIS assisted train-to-ground communications in SAGIN. To address this issue, a phase optimization algorithm of passive STAR-RIS is proposed to improve the channel quality of HSR UEs. Furthermore, a coalition game algorithm is proposed to associate HSR UEs with the optimal links that minimize inter-flow interference. Finally, a QoS-aware flow scheduling algorithm is proposed to optimize the order of the flows for the selected links. Simulation results confirm that the proposed scheduling scheme effectively increases the number of completed flows and total transmitted bits for STAR-RIS assisted train-to-ground communications in SAGIN, outperforming traditional methods.

IEEE Transactions on CommunicationsVol. 73(11)
Shaoyang University (CN), Beijing Jiaotong University (CN), Zhengzhou University (CN), University of Houston (US)
Openalex Percentile: Top 2%
Satellite Communication Systems
14.98
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STAR-RIS Assisted Train-to-Ground Communications in Space-Air-Ground Integrated Networks — Yong Niu, Lei Xiong, et al. · IEEE Transactions on Communications (2025) | TGRS Research Map | TGRS