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Dual-Polarized IRS-Assisted MIMO Network

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posted on 2023-07-10, 05:48 authored by Muteen MunawarMuteen Munawar, Kyungchun LeeKyungchun Lee

This study considers a dual-polarized intelligent reflecting surface (DP-IRS)-assisted multiple-input multiple-output (MIMO) single-user wireless communication system. The transmitter and receiver are equipped with DP antennas, and each antenna features a separate phase shifter for each polarization. We attempt to maximize the system’s spectral efficiency (SE) by optimizing the operations of the reflecting elements at the DP-IRS, precoder/combiner at the transmitter/receiver, and vertical/horizontal phase shifters at the DP antennas. To address this problem, we propose a three-step alternating optimization (AO) algorithm based on the semi-definite relaxation method. Next, we consider asymptotically low/high signal-to-noise ratio (SNR) regimes and propose low-complexity algorithms. In particular, for the lowSNR regime, we derive computationally low-cost closed-form solutions. According to the obtained numerical results, the proposed algorithm outperforms the various benchmark schemes. Specifically, our main algorithm exhibits a 65.6 % increase in the SE performance compared to random operations. In addition, we compare the SE performance of DP-IRS with that of simple IRS (S-IRS). For N = 50, DP-IRS achieves 24.8 %, 28.2 %, and 30.3 % improvements in SE for 4×4, 8×8, and 16×16 MIMO, respectively, compared to S-IRS.


This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1A2C1006566).


Email Address of Submitting Author

ORCID of Submitting Author

Submitting Author's Institution

Seoul National University of Science and Technology, South Korea

Submitting Author's Country

  • Korea, Republic of (South Korea)