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System Design for Maximizing Rate in Vehicle Networking with Reconfigurable Intelligent Surface (RIS) Assistance

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Abstract

In this paper, we propose an optimization algorithm for RIS-assisted multiple-input single-output vehicle communication systems, Given a vehicle-to-vehicle user signal to interference plus noise ratio requirement, we optimize the transmit beamforming vector and phase shift matrix of RIS to obtain the maximum transmission rate of vehicle to infrastructure user. To deal with the coupled variables in the optimization problem, the alternate iterative algorithm is exploited to divide the original optimization problem into two sub-problems, each with a single variable. Moreover, the first-order Taylor expansion and the semidefinite relaxation methods are used to transform the nonconvex sub-problems into convex optimization problems. The simulation results are presented to validate the superiority of the proposed method compared to the benchmark schemes. Additionally, the simulation results also reveal that there exits an optimal vehicle speed under different path loss exponents so as to achieve the maximum transmission rate if the RIS is used by our proposed beamforming method.

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Acknowledgements

This work is supported by National Natural Science Foundation of China (Nos. 61901196, 61701202), the open research fund of National Mobile Communications Research Laboratory, Southeast University (No. 2021D14), Future Network Scientific Research Fund Project (No. FNSRFP-2021-YB-35), Changzhou Sci & Tech Program (Nos. CJ20210070, CJ20235063), Changzhou Key Laboratory of 5G+ Indus-trial Internet Fusion Application (No. CM2023015)

Funding

Funding source of this work is supported by National Natural Science Foundation of China (No. 6190119 6, 61701202), the open research fund of National Mobile Communications Research Laboratory, Southeast University (No. 2021D14), Future Network Scientific Research Fund Project (No.FNSRFP-2021-YB-35), Changzhou Sci&Tech Program (No. CJ20210070), Changzhou Key Laboratory of 5G + Indus-trial Internet Fusion Application (No. CM2023015).

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213100, Jiangsu, China

    Qian Li, Yu Wang, Lei Zhang, Yulong Shang & Ziyan Jia

  2. Nation Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, Jiangsu, China

    Yu Wang

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  1. Qian Li
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  3. Lei Zhang
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Contributions

Qian Li, Yu Wang and Lei Zhang wrote the main manuscript text, Yulong Shang and Ziyan Jia revised the grammar of the paper. All authors reviewed the manuscript.

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Correspondence to Yu Wang.

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Li, Q., Wang, Y., Zhang, L. et al. System Design for Maximizing Rate in Vehicle Networking with Reconfigurable Intelligent Surface (RIS) Assistance. Wireless Pers Commun 134, 25–41 (2024). https://doi.org/10.1007/s11277-024-10864-3

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