基于张量分解的大规模MU-MIMO系统中CSI反馈算法

In recent years, massive Multi-user Multiple Input Multiple Output (MU-MIMO) which deployed large-scale antenna arrays at the base station can serve more users without increasing bandwidth and power has become the research focus of all agencies.However, in massive multi-user MIMO transmission, with the increase of the number of antennas, the feedback of CSI channel state information sharply increases, greatly increasing the feedback overhead.In this paper, we study how to reduce the feedback of CSI channel state information in massive MU-MIMO system under FDD transmission mode. Considering the space-time correlation of massive MU-MIMO system channels, we use tensor data structure to describe CSI channel state information from multiple dimensions and construct a multi-dimensional CSI channel state information tensor. And then we use tensor decomposition algorithm to predict missing CSI channel state information. Finally, the validity of the algorithm proposed in this paper is verified by simulation.