467 citations · 3.3k across the 111 of their papers we have counts for
5 papers · 1 filter
On Sparse Vector Recovery Performance in Structurally Orthogonal Matrices via LASSO
Chao-Kai Wen, Jun Zhang, Kai-Kit Wong +2
In this paper, we consider a compressed sensing problem of reconstructing a sparse signal from an undersampled set of noisy linear measurements. The regularized least squares or le…
Linear Precoding for the MIMO Multiple Access Channel with Finite Alphabet Inputs and Statistical CSI
Yongpeng Wu, Chao-Kai Wen, Chengshan Xiao +2
In this paper, we investigate the design of linear precoders for the multiple-input multiple-output (MIMO) multiple access channel (MAC). We assume that statistical channel state i…
Performance Limits of Massive MIMO Systems Based on Bayes-Optimal Inference
Chao-Kai Wen, Yongpeng Wu, Kai-Kit Wong +2
This paper gives a replica analysis for the minimum mean square error (MSE) of a massive multiple-input multiple-output (MIMO) system by using Bayesian inference. The Bayes-optimal…
Analysis of Compressed Sensing with Spatially-Coupled Orthogonal Matrices
Chao-Kai Wen, Kai-Kit Wong
Recent development in compressed sensing (CS) has revealed that the use of a special design of measurement matrix, namely the spatially-coupled matrix, can achieve the information-…
Linear MIMO Precoding in Jointly-Correlated Fading Multiple Access Channels with Finite Alphabet Signaling
Yongpeng Wu, Chao-Kai Wen, Chengshan Xiao +2
In this paper, we investigate the design of linear precoders for multiple-input multiple-output (MIMO) multiple access channels (MAC). We assume that statistical channel state info…