activity
20152021
most citedBayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO with Low-Precision ADCs

384 citations · 392 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2021★ 1 cited

Labeling Multipath via Reconfigurable Intelligent Surface

Chang-Jen Wang, Shang-Ling Shih, Chao-Kai Wen +1

Reconfigurable intelligent surface (RIS) has shown promise in providing apparent benefits in wireless communication and positioning. Most of the existing research focuses on the ab…

cs.LG2021★ 2 cited

Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork

Chang-Jen Wang, Chao-Kai Wen, Shang-Ho +3

Phase retrieval (PR) is an important component in modern computational imaging systems. Many algorithms have been developed over the past half-century. Recent advances in deep lear…

cs.IT2017★ 2 cited

Finite-Alphabet Precoding for Massive MU-MIMO with Low-resolution DACs

Chang-Jen Wang, Chao-Kai Wen, Shi Jin +1

Massive multiuser multiple-input multiple-output (MU-MIMO) systems are expected to be the core technology in fifth-generation wireless systems because they significantly improve sp…

cs.IT2015★ 384 cited

Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO with Low-Precision ADCs

Chao-Kai Wen, Chang-Jen Wang, Shi Jin +2

This paper considers a multiple-input multiple-output (MIMO) receiver with very low-precision analog-to-digital convertors (ADCs) with the goal of developing massive MIMO antenna s…

cs.IT2015★ 3 cited

Joint Channel-and-Data Estimation for Large-MIMO Systems with Low-Precision ADCs

Chao-Kai Wen, Shi Jin, Kai-Kit Wong +2

The use of low precision (e.g., 1-3 bits) analog-to-digital convenors (ADCs) in very large multiple-input multiple-output (MIMO) systems is a technique to reduce cost and power con…