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.
翻译:本文调查了具有直接联系的可重新配置智能表面(RIS)辅助的大规模多投入多产出产出(MIMO)系统的性能,而RIS的分阶段转移是根据统计渠道国家信息设计的。我们首先从上行链路电子数据率的封闭式表达方式中得出。然后,根据衍生表达方式,我们利用遗传算法(GA)解决数据率最大化的总和问题。在低兼容性最大拉皮混合(MRC)和低管理统计组合(CSI)计划下,我们验证了RIS仍然能够给传统的大型IMO系统带来显著的绩效收益。