640 citations · 4.4k across the 114 of their papers we have counts for
4 papers · 2 filters
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…
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…
Power Scaling of Uplink Massive MIMO Systems with Arbitrary-Rank Channel Means
Qi Zhang, Shi Jin, Kai-Kit Wong +2
This paper investigates the uplink achievable rates of massive multiple-input multiple-output (MIMO) antenna systems in Ricean fading channels, using maximal-ratio combining (MRC)…
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-…