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  4. Precoding and Decoding Schemes for Downlink MIMO-RSMA with Simultaneous Diagonalization and User Exclusion
 
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2022
Conference Paper
Title

Precoding and Decoding Schemes for Downlink MIMO-RSMA with Simultaneous Diagonalization and User Exclusion

Abstract
In this paper, we consider the precoder design for downlink multiple-input multiple-output (MIMO) rate-splitting multiple access (RSMA) systems. The proposed scheme with simultaneous diagonalization (SD) decomposes the MIMO channel matrices of the users into scalar channels via higher-order generalized singular value decomposition for the common message (CM) and block diagonalization (BD) for the private messages, thereby enabling low-complexity element-by-element successive interference cancellation (SIC) and decoding at the receivers. Furthermore, the proposed SD MIMO-RSMA overcomes a critical limitation in RSMA systems, whereby the achievable rate of the CM is restricted by the users with weak effective MIMO channel for the CM, by excluding a subset of users from decoding the CM. We formulate a non-convex weighted sum rate (WSR) optimization problem for SD MIMO-RSMA and solve it via successive convex approximation to obtain a locally optimal solution. Our simulation results reveal that, for both perfect and imperfect CSI, the proposed SD MIMO-RSMA with user exclusion outperforms baseline MIMO-RSMA schemes and linear BD precoding.
Author(s)
Diab, Rouaa
Friedrich-Alexander-Universität Erlangen-Nürnberg
Krishnamoorthy, Aravindh  
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Schober, Robert
Friedrich-Alexander-Universität Erlangen-Nürnberg
Mainwork
IEEE International Conference on Communications Workshops, ICC Workshops 2022. Proceedings  
Project(s)
6G Research and Innovation Cluster (6G-RIC) Offene und sichere 6G-Technologien  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Conference
International Conference on Communications 2022  
Workshop on Rate-Splitting (Multiple Access) for 6G 2022  
Open Access
DOI
10.1109/ICCWorkshops53468.2022.9814475
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
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