论文标题
通过空间信息提取和梁选择，用于FDD下行链路大规模MIMO的统计波束形成
Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection
论文作者
论文摘要
在本文中，我们研究了频划分双链脉（FDD）下行链路大量MIMO系统中的波束形成设计问题，其中假定瞬时通道状态信息（CSI）在基站（BS）中不可用。我们建议从上行链路通道估计过程中提取下行链路通道的相应大规模褪色系数（又称空间信息）的相应大规模褪色系数（又称空间信息）的信息。通过基于空间信息和物理通道的隐藏稀疏性分开不同用户的子路口，我们在波束形成设计中构建了近乎正交的虚拟通道。此外，我们得出了拟议系统的总和率表达式及其近似值。基于这些封闭形式的速率表达式，我们开发了两个低复杂性光束选择方案，并进行渐近分析，以提供有关系统设计的宝贵见解。数值结果表明，我们所提出的算法在最先进的光束形成方法上的性能有了显着改善。
In this paper, we study the beamforming design problem in frequency-division duplexing (FDD) downlink massive MIMO systems, where instantaneous channel state information (CSI) is assumed to be unavailable at the base station (BS). We propose to extract the information of the angle-of-departures (AoDs) and the corresponding large-scale fading coefficients (a.k.a. spatial information) of the downlink channel from the uplink channel estimation procedure, based on which a novel downlink beamforming design is presented. By separating the subpaths for different users based on the spatial information and the hidden sparsity of the physical channel, we construct near-orthogonal virtual channels in the beamforming design. Furthermore, we derive a sum-rate expression and its approximations for the proposed system. Based on these closed-form rate expressions, we develop two low-complexity beam selection schemes and carry out asymptotic analysis to provide valuable insights on the system design. Numerical results demonstrate a significant performance improvement of our proposed algorithm over the state-of-the-art beamforming approach.
