46 citations · 49 across the 5 of their papers we have counts for
5 papers
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties
Lei Chu, Fei Wen, Robert Caiming Qiu
Recently, multi-user multiple input multiple output (MU-MIMO) systems with low-resolution digital-to-analog converters (DACs) has received considerable attention, owing to the capa…
Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs
Lei Chu, Fei Wen, Lily Li +1
The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-outp…
Eigen-Inference Precoding for Coarsely Quantized Massive MU-MIMO System with Imperfect CSI
Lei Chu, Robert Qiu, Fei Wen
This work considers the precoding problem in massive multiuser multiple-input multiple-output (MU-MIMO) systems equipped with low-resolution digital-to-analog converters (DACs). In…
Anti-measurement Matrix Uncertainty Sparse Signal Recovery for Compressive Sensing
Yipeng Liu, Qun Wan, Fei Wen +2
Compressive sensing (CS) is a technique for estimating a sparse signal from the random measurements and the measurement matrix. Traditional sparse signal recovery methods have seri…
Sparse Support Recovery with Phase-Only Measurements
Yipeng Liu, Qun Wan, Fei Wen +2
Sparse support recovery (SSR) is an important part of the compressive sensing (CS). Most of the current SSR methods are with the full information measurements. But in practice the…