论文标题
智能反射表面：基于统计CSI的总和率优化
Intelligent Reflecting Surfaces: Sum-Rate Optimization Based on Statistical CSI
论文作者
论文摘要
在本文中，我们考虑了由多个智能反射表面（IRSS）的多用户多输入多输入（MIMO）系统，这些系统被部署以增加覆盖范围，并可能增加了频道的等级。我们提出了一种配置IRSS的优化算法，该算法旨在通过仅利用环境的统计表征来最大化网络总数，例如用户位置的分布和多路径通道的分布。结果，提出的方法不需要估算瞬时通道状态信息（CSI）进行系统优化，从而显着放松（甚至避免）经常重新配置IRS的需求，这构成了IRS辅助系统中最关键的问题之一。数值结果证实了所提出的方法的有效性。特别是，根据统计CSI进行了优化的IRS辅助无线系统，与没有部署IRS的基线场景相比，仍然可以提供较大的性能增长。
In this paper, we consider a multi-user multiple-input multiple-output (MIMO) system aided by multiple intelligent reflecting surfaces (IRSs) that are deployed to increase the coverage and, possibly, the rank of the channel. We propose an optimization algorithm to configure the IRSs, which is aimed at maximizing the network sum-rate by exploiting only the statistical characterization of the environment, such as the distribution of the locations of the users and the distribution of the multipath channels. As a consequence, the proposed approach does not require the estimation of the instantaneous channel state information (CSI) for system optimization, thus significantly relaxing (or even avoiding) the need of frequently reconfiguring the IRSs, which constitutes one of the most critical issues in IRS-assisted systems. Numerical results confirm the validity of the proposed approach. It is shown, in particular, that IRS-assisted wireless systems that are optimized based on statistical CSI still provide large performance gains as compared to the baseline scenarios in which no IRSs are deployed.
