Dual-Polarized IRS-Assisted MIMO Network

作     者：Munawar, Muteen Lee, Kyungchun 

作者机构：Seoul Natl Univ Sci & Technol Res Ctr Elect & Informat Technol Dept Elect & Informat Engn Seoul 01811 South Korea 

出 版 物：《IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS》 (IEEE Trans. Wireless Commun.)

年 卷 期：2024年第23卷第4期

页      面：2519-2532页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

基　　金：Basic Science Research Program through the National Research Foundation of Korea (NRF) 

主　　题：Intelligent reflecting surface dual polarization multiple-input multiple-output alternating optimization 

摘      要：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 low-SNR 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 x 4 , 8 x 8 , and 16 x 16 MIMO, respectively, compared to S-IRS.