论文标题
同时对角线化和用户排除的下行链路MIMO-RSMA的预编码和解码方案
Precoding and Decoding Schemes for Downlink MIMO-RSMA with Simultaneous Diagonalization and User Exclusion
论文作者
论文摘要
在本文中，我们考虑了下行链路多输入多输出（MIMO）速率降低多访问（RSMA）系统的预编码器设计。 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.此外，提出的SD MIMO-RSMA克服了RSMA系统的关键限制，因此，CM的可实现速率受到CM有效MIMO通道较弱的用户的限制，通过将用户的子集排除在CM中。我们为SD MIMO-RSMA制定了非凸权加权总和速率（WSR）优化问题，并通过连续的凸近近似求解，以获得局部最佳的解决方案。我们的仿真结果表明，对于完美和不完美的CSI，提出的SD MIMO-RSMA和用户排除的表现优于基线MIMO-RSMA方案和线性BD预编码。
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.
