Maximizing dirty-paper coding rate of RIS-assisted multi-user MIMO broadcast channels
File(s)
Author(s)
Elmossallamy, Mohamed A
Sultan, Radwa
Seddik, Karim G
Li, Geoffery Ye
Han, Zhu
Type
Journal Article
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.
Date Issued
2022-03-01
Date Acceptance
2022-03-09
Citation
Intelligent and Converged Networks, 2022, 3 (1), pp.64-73
ISSN
2708-6240
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
64
End Page
73
Journal / Book Title
Intelligent and Converged Networks
Volume
3
Issue
1
Copyright Statement
© All articles included in the journal are copyrighted to the ITU and TUP. This work is available under the CC BY-NC-ND 3.0 IGO license: https://creativecommons.org/licenses/by-nc-nd/3.0/igo/.
Publication Status
Published
Date Publish Online
2022-03-01