27 citations · 29 across the 5 of their papers we have counts for
5 papers
Low-complexity eigenvector prediction-based precoding matrix prediction in massive MIMO with mobility
Ziao Qin, Haifan Yin, Weidong Li
In practical massive multiple-input multiple-output (MIMO) systems, the precoding matrix is often obtained from the eigenvectors of channel matrices and is challenging to update in…
A manifold learning-based CSI feedback framework for FDD massive MIMO
Yandi Cao, Haifan Yin, Ziao Qin +3
Massive multi-input multi-output (MIMO) in Frequency Division Duplex (FDD) mode suffers from heavy feedback overhead for Channel State Information (CSI). In this paper, a novel man…
A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method for Massive MIMO with Mobility
Weidong Li, Haifan Yin, Ziao Qin +2
This paper addresses the mobility problem in massive multiple-input multiple-output systems, which leads to significant performance losses in the practical deployment of the fifth…
A Partial Reciprocity-based Channel Prediction Framework for FDD Massive MIMO with High Mobility
Ziao Qin, Haifan Yin, Yandi Cao +2
Massive multiple-input multiple-output (MIMO) is believed to deliver unrepresented spectral efficiency gains for 5G and beyond. However, a practical challenge arises during its com…
A Practical Non-Stationary Channel Model for Vehicle-to-Vehicle MIMO Communications
Weidong Li, Qiuming Zhu, Cheng-Xiang Wang +3
In this paper, a practical model for non-stationary Vehicle-to-Vehicle (V2V) multiple-input multiple-output (MIMO) channels is proposed. The new model considers more accurate outpu…