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

Author's Department

Electronics & Communications Engineering Department

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https://doi.org/10.23919/icn.2022.0004

All Authors

Mohamed A. Elmossallamy; Radwa Sultan; Karim G. Seddik; Geoffery Ye Li; Zhu Han

Document Type

Research Article

Publication Title

Intelligent and Converged Networks

Publication Date

3-1-2022

doi

10.23919/icn.2022.0004

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.

First Page

64

Last Page

73

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