46 citations · 235 across the 20 of their papers we have counts for
12 papers · 1 filter
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…
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…
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-…
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…
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…
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…
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…
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…
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…
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…
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…
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…