论文标题
FDD大规模MIMO系统的下行链路通道协方差矩阵重建有限
Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems with Limited Feedback
论文作者
论文摘要
下行链路通道协方差矩阵（CCM）采集是大量多输入和多输出（MIMO）系统实际性能的关键步骤，包括波束成型，通道跟踪和用户计划。但是，由于频道信息反馈有限，该任务在流行的频级双面大型MIMO系统中具有挑战性。在本文中，我们提出了一种新的公式，该公式利用代码本的结构和反馈值，以准确估计下行链路CCM。然后，我们设计了一种切割平面算法，以连续缩小包含下行链路CCM的可行套件，这是通过仔细设计飞行员加权矩阵启用的。理论分析表明，随着通信弹的数量增加，提出的切割平面算法可以恢复地面真相CCM。给出了数值结果，以证明所提出的算法比CCM重建中现有基准的出色性能。
The downlink channel covariance matrix (CCM) acquisition is the key step for the practical performance of massive multiple-input and multiple-output (MIMO) systems, including beamforming, channel tracking, and user scheduling. However, this task is challenging in the popular frequency division duplex massive MIMO systems with Type I codebook due to the limited channel information feedback. In this paper, we propose a novel formulation that leverages the structure of the codebook and feedback values for an accurate estimation of the downlink CCM. Then, we design a cutting plane algorithm to consecutively shrink the feasible set containing the downlink CCM, enabled by the careful design of pilot weighting matrices. Theoretical analysis shows that as the number of communication rounds increases, the proposed cutting plane algorithm can recover the ground-truth CCM. Numerical results are presented to demonstrate the superior performance of the proposed algorithm over the existing benchmark in CCM reconstruction.
