RIS Cooperative Multi-Relay Assisted Vehicular MIMO Networks

In this paper, we propose a downlink vehicular Multiple-Input Multiple-Output (MIMO) wireless communication system that differs from most existing studies. The considered system employs an Reconfigurable Intelligent Surface (RIS)-assisted radio-frequency (RF) source as the transmitter, while the receiving vehicle is equipped with multiple antennas. Furthermore, additional RIS and multiple relay nodes are deployed between the base station and the target vehicle to enhance communication. All relays operate under the amplify-and-forward (AF) protocol, including both fixed-gain relaying and channel state information (CSI)-assisted relaying schemes. Each relaying scheme is further analyzed under three relay selection strategies: fixed relay selection (FRS), partial relay selection (PRS), and opportunistic relay selection (ORS). To evaluate the effects of different relaying schemes, selection strategies, and system parameters on outage performance, we derive closed-form approximate expressions for the outage probability under each strategy. All analytical results are verified through Monte Carlo simulations. Numerical and simulation results indicate that system parameters significantly affect outage performance in fixed-gain relaying, whereas in CSI-assisted relaying, outage performance is primarily determined by the relay-to-vehicle link. Additionally, comparative analysis demonstrates that fixed-gain relaying achieves better outage performance, with the ORS strategy exhibiting substantial advantages over FRS and PRS.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-09-09
DOI
https://doi.org/10.1109/tvt.2025.3608001
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

RIS Cooperative Multi-Relay Assisted Vehicular MIMO Networks

Charalampos C. Tsimenidis, Shahid Mumtaz, Yifan Liu, Hao Li et al.
1 citations
IEEE Transactions on Vehicular Technology
Advanced MIMO Systems Optimization
0.73
article

RIS Cooperative Multi-Relay Assisted Vehicular MIMO Networks

Charalampos C. Tsimenidis, Shahid Mumtaz, Yifan Liu, Hao Li, Baofeng Ji, Saibing Wang, Guoqiang Zheng
article en
1 citations

Abstract

In this paper, we propose a downlink vehicular Multiple-Input Multiple-Output (MIMO) wireless communication system that differs from most existing studies. The considered system employs an Reconfigurable Intelligent Surface (RIS)-assisted radio-frequency (RF) source as the transmitter, while the receiving vehicle is equipped with multiple antennas. Furthermore, additional RIS and multiple relay nodes are deployed between the base station and the target vehicle to enhance communication. All relays operate under the amplify-and-forward (AF) protocol, including both fixed-gain relaying and channel state information (CSI)-assisted relaying schemes. Each relaying scheme is further analyzed under three relay selection strategies: fixed relay selection (FRS), partial relay selection (PRS), and opportunistic relay selection (ORS). To evaluate the effects of different relaying schemes, selection strategies, and system parameters on outage performance, we derive closed-form approximate expressions for the outage probability under each strategy. All analytical results are verified through Monte Carlo simulations. Numerical and simulation results indicate that system parameters significantly affect outage performance in fixed-gain relaying, whereas in CSI-assisted relaying, outage performance is primarily determined by the relay-to-vehicle link. Additionally, comparative analysis demonstrates that fixed-gain relaying achieves better outage performance, with the ORS strategy exhibiting substantial advantages over FRS and PRS.

IEEE Transactions on Vehicular TechnologyVol. 75(3)
Henan University of Science and Technology (CN), Zhengzhou University of Light Industry (CN), Nottingham Trent University (GB), Newcastle University (GB)
Openalex Percentile: Top 24%
Advanced MIMO Systems Optimization
0.73
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