论文标题
基于CSI的统计设计，用于可重构智能表面辅助的大型MIMO系统，具有直接链接
Statistical CSI-based Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Direct Links
论文作者
论文摘要
本文研究了具有直接链接的可重构智能表面（RIS）大量多输入多输出（MIMO）系统的性能，RIS的相移是基于统计通道状态信息（CSI）设计的。我们首先得出上行链路上行链接数据速率的闭合形式表达。然后，基于派生的表达式，我们使用遗传算法（GA）来解决总和数据速率最大化问题。使用低复杂性最大比率组合（MRC）和基于CSI的低空统计方案，我们验证RIS仍然可以为传统的大型MIMO系统带来显着的性能增长。
This paper investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) systems with direct links, and the phase shifts of the RIS are designed based on the statistical channel state information (CSI). We first derive the closed-form expression of the uplink ergodic data rate. Then, based on the derived expression, we use the genetic algorithm (GA) to solve the sum data rate maximization problem. With low-complexity maximal-ratio combination (MRC) and low-overhead statistical CSI-based scheme, we validate that the RIS can still bring significant performance gains to traditional massive MIMO systems.
