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Double IRS-Aided Dual-Function Radar and Communication System

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6GN for Future Wireless Networks (6GN 2023)

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Abstract

As an edge-cutting technology, Intelligent reflecting surface (IRS) can be well used in various fields. In this paper, we investigate to deploy double IRS in the dual-function radar and communication (DFRC) system, which we deploy double IRS to assist a base station (BS) with both radar sensing and communication capabilities with multiple single-antenna users. And we optimize the active beamforming at the base station and the passive beamforming of the IRS to maximize the achievable sum-rate of communication users. Because the optimization problems are non-convex, the fractional programming (FP), majorization-minimization (MM), and manifold optimization methods are used in an alternating algorithm to figure out these problems. Simulation results demonstrate the efficiency of the proposed algorithm.

Supported by National Natural Science Foundation of China (No. 62076160), Natural Science Foundation of Shanghai (No. 21ZR1424700), Shanghai Science and Technology Innovation Funds (No. 23QA1403800).

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Authors and Affiliations

  1. Shanghai Dianji University, Shanghai, China

    Zijia Chen, Liu Yang, Ying Zhao & Tiancheng Zhang

Authors
  1. Zijia Chen
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  2. Liu Yang
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  3. Ying Zhao
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  4. Tiancheng Zhang
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Corresponding author

Correspondence to Zijia Chen .

Editor information

Editors and Affiliations

  1. Shanghai Dianji University, Shanghai, China

    Jingchao Li

  2. Kanagawa University, Yokohama, Japan

    Bin Zhang

  3. Shanghai University of Electric Power, Yangpu, China

    Yulong Ying

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, Z., Yang, L., Zhao, Y., Zhang, T. (2024). Double IRS-Aided Dual-Function Radar and Communication System. In: Li, J., Zhang, B., Ying, Y. (eds) 6GN for Future Wireless Networks. 6GN 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-031-53401-0_12

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  • DOI: https://doi.org/10.1007/978-3-031-53401-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53400-3

  • Online ISBN: 978-3-031-53401-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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