Power Scaling Law Analysis and Phase Shift Optimization of RIS-aided Massive MIMO Systems with Statistical CSI

Zhi, Kangda, Pan, Cunhua, Ren, Hong and Wang, Kezhi (2022) Power Scaling Law Analysis and Phase Shift Optimization of RIS-aided Massive MIMO Systems with Statistical CSI. IEEE Transactions on Communications, 70 (5). pp. 3558-3574. ISSN 1558-0857

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Official URL: https://doi.org/10.1109/TCOMM.2022.3162580


This paper considers an uplink reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) system, where the phase shifts of the RIS are designed relying on statistical channel state information (CSI). Considering the complex environment, the general Rician channel model is adopted for both the users-RIS links and RIS-BS links. We first derive the closed-form approximate expressions for the achievable rate which holds for arbitrary numbers of base station (BS) antennas and RIS elements. Then, we utilize the derived expressions to provide some insights, including the asymptotic rate performance, the power scaling laws, and the impacts of various system parameters on the achievable rate. We also tackle the sum-rate maximization and the minimum user rate maximization problems by optimizing the phase shifts at the RIS based on genetic algorithm (GA). Finally, extensive simulations are provided to validate the benefits by integrating RIS into conventional massive MIMO systems. Our simulations also demonstrate the feasibility of deploying large-size but low-resolution RIS in massive MIMO systems.

Item Type: Article
Additional Information: Funding information: This work was supported in part by the National Key Research and Development Project (2019YFE0123600), National Natural Science Foundation of China (62101128), Basic Research Project of Jiangsu Provincial Department of Science and Technology (BK20210205), and High Level Personal Project of Jiangsu Province (JSSCBS20210105). Kangda Zhi’s work was supported by China Scholarship Council.
Uncontrolled Keywords: Intelligent reflecting surface (IRS), massive MIMO, reconfigurable intelligent surface (RIS), Rician fading channels, statistical CSI, uplink achievable rate
Subjects: G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 21 Apr 2022 08:20
Last Modified: 26 May 2022 15:00
URI: http://nrl.northumbria.ac.uk/id/eprint/48933

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