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Average SNR maximization of users aided by multiple active intelligent reflecting surfaces

Author

Listed:
  • Zahra Khoshkalam

    (Qom University of Technology (QUT))

  • Hadi Zayyani

    (American University of the Middle East)

  • Alireza Hariri

    (Qom University of Technology (QUT))

  • Hasan Abu Hilal

    (Higher Colleges of Technology)

  • Mohammad Salman

    (American University of the Middle East)

Abstract

In this paper, multiple active Intelligent Reflecting Surfaces (IRS) are used to enhance the communication between a Base Station with multiple antennas and multiple users in a region. The average Signal-to-Noise Ratio (SNR) maximization is employed to design the gain matrices of IRSs. To avoid the solution of infinite SNR by infinite gains, a constraint on the amplitude of the gain matrices is considered. The derived optimization problem is solved using an alternating maximization algorithm to find the suboptimal solution in which the sub-problems have a closed-form solution, which shows itself in the computational efficiency of the overall algorithm. The simulation results show the SNR improvement of the proposed method with multiple IRS in the random phase case of gain matrices of the IRSs and in the case of using only one IRS. Moreover, to show the practical limitations of the proposed method, simulation results for scenarios involving fading channels and inter-IRS interference are presented. The results reveal performance degradations, emphasizing the need to consider these limitations in future research.

Suggested Citation

  • Zahra Khoshkalam & Hadi Zayyani & Alireza Hariri & Hasan Abu Hilal & Mohammad Salman, 2025. "Average SNR maximization of users aided by multiple active intelligent reflecting surfaces," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(2), pages 1-9, June.
    • Handle: RePEc:spr:telsys:v:88:y:2025:i:2:d:10.1007_s11235-025-01309-8
    DOI: 10.1007/s11235-025-01309-8
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    References listed on IDEAS

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    1. Pham Van Quyet & Ha Hoang Kha, 2024. "Robust transmission design for active IRS-aided multiuser MIMO cognitive radio systems with non-linear energy harvesting models," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 86(1), pages 155-171, May.
    2. M. Golbabapour & M. Reza Zahabi, 2024. "Sum rate maximization for mm-wave multi-user hybrid IRS-assisted MIMO systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(3), pages 593-604, November.
    3. Jinyan Qi & Haohan Li & Wence Zhang & Jing Xia & Zhaowen Zheng & Xu Bao, 2024. "Low-complexity passive beamforming for reconfigurable intelligent surface aided mmWave communication systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(4), pages 1099-1110, December.
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