activity
20152022
most citedOn the Design of Constant Modulus Probing Waveforms with Good Correlation Properties for MIMO Radar via Consensus-ADMM Approach

46 citations · 235 across the 20 of their papers we have counts for

collaborators

20 papers

cs.IT2022

On the design of Massive MIMO-QAM detector via -Box ADMM approach

Jiangtao Wang, Quan Zhang, Yongchao Wang

In this letter, we develop an -box maximum likelihood (ML) formulation for massive multiple-input multiple-output (MIMO) quadrature amplitude modulation (QAM) signal detect…

cs.IT2022★ 1 cited

Edge Graph Neural Networks for Massive MIMO Detection

Hongyi Li, Junxiang Wang, Yongchao Wang

Massive Multiple-Input Multiple-Out (MIMO) detection is an important problem in modern wireless communication systems. While traditional Belief Propagation (BP) detectors perform p…

cs.IT2022★ 1 cited

Efficient ADMM Decoder for Non-binary LDPC Codes with Codeword-Independent Performance

Xiaomeng Guo, Yongchao Wang

In this paper, we devote to devise a non-binary low-density parity-check (LDPC) decoder in Galois fields of characteristic two () via the alternating direction me…

cs.IT2022

Decoding Nonbinary LDPC Codes via Proximal-ADMM Approach (include convergence proofs)

Yongchao Wang, Jing Bai

In this paper, we focus on decoding nonbinary low-density parity-check (LDPC) codes in Galois fields of characteristic two via the proximal alternating direction method of multipli…

eess.SP2022★ 2 cited

Secure Transmission for IRS-Assisted MIMO MmWave Systems

Long Yang, Jiangtao Wang, Xuan Xue +2

In this paper, we investigate the secure beamforming design in an intelligent reflection surface (IRS) assisted millimeter wave (mmWave) system, where the hybrid beamforming (HB) a…

eess.SP2021

Designing Binary Sequence Set with Optimized Correlation Properties via ADMM Approach

Jiangtao Wang, Yongchao Wang

In this paper, we design low correlation binary sequences favorable in wireless communication and radar applications. First, we formulate the designing problem as a nonconvex combi…

eess.SP2021★ 1 cited

Efficient QAM Signal Detector for Massive MIMO Systems via PS-ADMM Approach

Quan Zhang, Jiangtao Wang, Yongchao Wang

In this paper, we design an efficient quadrature amplitude modulation (QAM) signal detector for massive multiple-input multiple-output (MIMO) communication systems via the penalty-…

eess.SP2021

A Low-Complexity ADMM-based Massive MIMO Detectors via Deep Neural Networks

Isayiyas Nigatu Tiba, Quan Zhang, Jing Jiang +1

An alternate direction method of multipliers (ADMM)-based detectors can achieve good performance in both small and large-scale multiple-input multiple-output (MIMO) systems. Howeve…

cs.IT2020★ 2 cited

Proximal-ADMM Decoder for Nonbinary LDPC Codes

Yongchao Wang, Jing Bai

In this paper, we develop an efficient decoder via the proximal alternating direction method of multipliers (proximal-ADMM) technique for nonbinary linear block codes in the Galois…

eess.SP2020★ 2 cited

Designing Massive MIMO Detector via PS-ADMM approach

Quan Zhang, Yongchao Wang

In this paper, we develop an efficient detector for massive multiple-input multiple-output (MIMO) communication systems via penalty-sharing alternating direction method of multipli…

cs.IT2019★ 18 cited

Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis

Jing Bai, Yongchao Wang, Qingjiang Shi

This paper presents an efficient quadratic programming (QP) decoder via the alternating direction method of multipliers (ADMM) technique, called QP-ADMM, for binary low-density par…

eess.SP2019★ 2 cited

Energy-Efficient Hybrid Precoding for Massive MIMO mmWave Systems With a Fully-Adaptive-Connected Structure

Xuan Xue, Yongchao Wang, Long Yang +2

This paper investigates the hybrid precoding design in millimeter-wave (mmWave) systems with a fully-adaptive-connected precoding structure, where a switch-controlled connection is…

eess.SP2019★ 1 cited

Designing Unimodular Sequences with Optimized Auto/cross-correlation Properties via Consensus-ADMM/PDMM Approaches

Yongchao Wang, Jiangtao Wang

Unimodular sequences with good auto/cross-correlation properties are favorable in wireless communication and radar applications. In this paper, we focus on designing these kinds of…

eess.SP2019★ 17 cited

Graph Sampling for Matrix Completion Using Recurrent Gershgorin Disc Shift

Fen Wang, Yongchao Wang, Gene Cheung +1

Matrix completion algorithms fill missing entries in a large matrix given a subset of observed samples. However, how to best pre-select informative matrix entries given a sampling…

cs.IT2019★ 2 cited

Minimum-Polytope-Based Linear Programming Decoder for LDPC Codes via ADMM Approach

Jing Bai, Yongchao Wang, Francis C. M. Lau

In this letter, we develop an efficient linear programming (LP) decoding algorithm for low-density parity-check (LDPC) codes. We first relax the maximum likelihood (ML) decoding pr…

eess.SP2019★ 46 cited

On the Design of Constant Modulus Probing Waveforms with Good Correlation Properties for MIMO Radar via Consensus-ADMM Approach

Jiangtao Wang, Yongchao Wang

In this paper, we design constant modulus probing waveforms with good correlation properties for collocated multi-input multi-output (MIMO) radar systems. The main content is as fo…

eess.SP2018★ 45 cited

Low-complexity Graph Sampling with Noise and Signal Reconstruction via Neumann Series

Fen Wang, Gene Cheung, Yongchao Wang

Graph sampling addresses the problem of selecting a node subset in a graph to collect samples, so that a K-bandlimited signal can be reconstructed in high fidelity. Assuming an ind…

eess.SP2018★ 46 cited

Optimized Signal Distortion for PAPR Reduction of OFDM Signals with IFFT/FFT Complexity via ADMM Approaches

Yongchao Wang, Yanjiao Wang, Qingjiang Shi

In this paper, we propose two low-complexity optimization methods to reduce peak-to-average power ratio (PAPR) values of orthogonal frequency division multiplexing (OFDM) signals v…

eess.SP2018★ 29 cited

A-Optimal Sampling and Robust Reconstruction for Graph Signals via Truncated Neumann Series

Fen Wang, Yongchao Wang, Gene Cheung

Graph signal processing (GSP) studies signals that live on irregular data kernels described by graphs. One fundamental problem in GSP is sampling---from which subset of graph nodes…

cs.IT2015★ 20 cited

Hybrid Analog-Digital Beamforming for Multiuser MIMO Millimeter Wave Relay Systems

Xuan Xue, Tadilo Endeshaw Bogale, Xianbin Wang +2

This paper proposed new hybrid, analog-digital, beamforming for a multiuser millimeter wave (mm-wave) relay system. For this system, we consider a sum rate maximization problem. Th…