Double intelligent reflecting surface-assisted multi-user MIMO mmWave systems with hybrid precoding

Niu, Hehao, Chu, Zheng, Zhou, Fuhui, Pan, Cunhua, Ng, Derrick Wing Kwan and Nguyen, Huan X. ORCID logoORCID: (2021) Double intelligent reflecting surface-assisted multi-user MIMO mmWave systems with hybrid precoding. IEEE Transactions on Vehicular Technology, 71 (2) . pp. 1575-1587. ISSN 0018-9545 [Article] (Published online first) (doi:10.1109/TVT.2021.3131514)

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This work investigates the effect of double intelligent reflecting surface (IRS) in improving the spectrum efficient of multi-user multiple-input multiple-output (MIMO) network operating in the millimeter wave (mmWave) band. Specifically, we aim to solve a weighted sum rate maximization problem by jointly optimizing the digital precoding at the transmitter and the analog phase shifters at the IRS, subject to the minimum achievable rate constraint. To facilitate the design of an efficient solution, we first reformulate the original problem into a tractable one by exploiting the majorization-minimization (MM) method. Then, a block coordinate descent (BCD) method is proposed to obtain a suboptimal solution, where the precoding matrices and the phase shifters are alternately optimized. Specifically, the digital precoding matrix design problem is solved by the quadratically constrained quadratic programming (QCQP), while the analog phase shift optimization is solved by the Riemannian manifold optimization (RMO). The convergence and computational complexity are analyzed. Finally, simulation results are provided to verify the performance of the proposed design, as well as the effectiveness of double-IRS in improving the spectral efficiency.

Item Type: Article
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 34237
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Depositing User: Huan Nguyen
Date Deposited: 15 Dec 2021 09:21
Last Modified: 29 Nov 2022 17:39

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