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Performance Analysis of RIS-Assisted SatComs Based on a ZFBF and Co-Phasing Scheme

Author

Listed:
  • Minchae Jung

    (Department of Electronics and Information Engineering, Sejong University, Seoul 05006, Republic of Korea)

  • Taehyoung Kim

    (School of Electrical Engineering, Kookmin University, Seoul 02707, Republic of Korea)

  • Hyukmin Son

    (Department of Electronic Engineering, Gachon University, Seongnam 13120, Republic of Korea)

Abstract

In recent high-throughput satellite communication (SatCom) systems, the use of reconfigurable intelligent surfaces (RISs) has emerged as a promising solution to improve spectral efficiency and extend coverage in areas with limited terrestrial network access. However, the RIS may amplify the inter-beam interference (IBI) caused by multibeam transmission at the satellite, and multiple RISs can also cause inter-RIS interference (IRI) to terrestrial users. In this paper, the performance of the RIS-assisted SatCom system is asymptotically analyzed for both full and partial channel state information (CSI) scenarios. In particular, zero-forcing beamforming is considered as the active beamforming for data transmission, while the co-phasing scheme is considered as the passive beamforming for RIS reflection. Based on the asymptotic analyses, deterministic active and passive beamforming techniques using partial CSI are proposed that can gradually eliminate both IBI and IRI, ultimately achieving ideal performance. Simulation results validate the accuracy of asymptotic analyses and demonstrate the superiority of deterministic active and passive beamforming techniques using partial CSI. The simulation results also confirm that the proposed beamforming can achieve approximately 92.8% of the ideal performance, even though it only requires partial CSI.

Suggested Citation

  • Minchae Jung & Taehyoung Kim & Hyukmin Son, 2024. "Performance Analysis of RIS-Assisted SatComs Based on a ZFBF and Co-Phasing Scheme," Mathematics, MDPI, vol. 12(8), pages 1-12, April.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:8:p:1257-:d:1379794
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    References listed on IDEAS

    as
    1. Md Habibur Rahman & Mohammad Abrar Shakil Sejan & Md Abdul Aziz & Dong-Sun Kim & Young-Hwan You & Hyoung-Kyu Song, 2023. "Deep Convolutional and Recurrent Neural-Network-Based Optimal Decoding for RIS-Assisted MIMO Communication," Mathematics, MDPI, vol. 11(15), pages 1-18, August.
    2. Yun Yu & Jinhao Wang & Xiao Zhou & Chengyou Wang & Zhiquan Bai & Zhun Ye, 2023. "Review on Channel Estimation for Reconfigurable Intelligent Surface Assisted Wireless Communication System," Mathematics, MDPI, vol. 11(14), pages 1-30, July.
    3. Md Habibur Rahman & Mohammad Abrar Shakil Sejan & Md Abdul Aziz & Dong-Sun Kim & Young-Hwan You & Hyoung-Kyu Song, 2023. "Spectral Efficiency Analysis for IRS-Assisted MISO Wireless Communication: A Metaverse Scenario Proposal," Mathematics, MDPI, vol. 11(14), pages 1-13, July.
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