Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 21, Issue 11, Pages 9170-9185Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2022.3173463
Keywords
MIMO communication; Precoding; Symbols; Robustness; Optimization; Downlink; Communication systems; Multiple-input multiple-output (MIMO) communication; multiple access; precoding; linear algebra
Funding
- Bundesministerium fur Bildung und Forschung (BMBF) [16KISK023]
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This paper investigates the precoder design for an underloaded or critically loaded downlink multi-user MIMO communication system. The proposed precoding scheme utilizes rate splitting and successive interference cancellation to enhance system performance. By adjusting the inter-user interference through linear combinations of the null-space basis vectors of the MIMO channel matrices, the proposed precoding scheme shows enhanced performance and robustness, especially for imperfect channel state information.
In this paper, we consider the precoder design for an underloaded or critically loaded downlink multi-user multiple-input multiple-output (MIMO) communication system. We propose novel precoding and decoding schemes which enhance system performance based on rate splitting at the transmitter and single-stage successive interference cancellation at the receivers. The proposed successive null-space (SNS) precoding utilizes linear combinations of the null-space basis vectors of the successively augmented MIMO channel matrices of the users as precoding vectors to adjust the inter-user-interference experienced by the receivers. We formulate a non-convex weighted sum rate optimization problem for the precoding vectors and the associated power allocation for the proposed SNS-based MIMO-rate-splitting multiple access (RSMA) scheme. We obtain a suboptimal solution for this problem via successive convex approximation. Moreover, we study the robustness of the proposed precoding scheme to imperfect channel state information (CSI) at the base station via derivative-based sensitivity analysis. Our analysis and simulation results reveal the enhanced performance and robustness of the proposed SNS-based MIMO-RSMA scheme over several baseline multi-user MIMO schemes, especially for imperfect CSI.
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