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Open Access

Maximizing dirty-paper coding rate of RIS-assisted multi-user MIMO broadcast channels

Qualcomm Inc., Boxborough, MA 01719, USA
Electrical and Computer Engineering Department and the Computer Science Department, University of Houston, Houston, TX 77004, USA
Electrical and Computer Engineering Department, Manhattan College, Riverdale, NY 10471, USA
Electronics and Communications Engineering Department, American University in Cairo, New Cairo 11835, Egypt
Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK
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Abstract

We consider a downlink multi-user scenario and investigate the use of reconfigurable intelligent surfaces (RISs) to maximize the dirty-paper-coding (DPC) sum rate of the RIS-assisted broadcast channel. Different from prior works, which maximize the rate achievable by linear precoders, we assume a capacity-achieving DPC scheme is employed at the transmitter and optimize the transmit covariances and RIS reflection coefficients to directly maximize the sum capacity of the broadcast channel. We propose an optimization algorithm that iteratively alternates between optimizing the transmit covariances using convex optimization and the RIS reflection coefficients using Riemannian manifold optimization. Our results show that the proposed technique can be used to effectively improve the sum capacity in a variety of scenarios compared to benchmark schemes.

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Intelligent and Converged Networks
Pages 64-73
Cite this article:
Elmossallamy MA, Sultan R, Seddik KG, et al. Maximizing dirty-paper coding rate of RIS-assisted multi-user MIMO broadcast channels. Intelligent and Converged Networks, 2022, 3(1): 64-73. https://doi.org/10.23919/ICN.2022.0004

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Published: 30 March 2022
© All articles included in the journal are copyrighted to the ITU and TUP.

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