467 citations · 3.3k across the 111 of their papers we have counts for
11 papers · 2 filters
Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI
Yu Han, Wankai Tang, Shi Jin +2
Large intelligent surface (LIS)-assisted wireless communications have drawn attention worldwide. With the use of low-cost LIS on building walls, signals can be reflected by the LIS…
Hardware-Constrained Millimeter Wave Systems for 5G: Challenges, Opportunities, and Solutions
Xi Yang, Michail Matthaiou, Jie Yang +3
Although millimeter wave (mmWave) systems promise to offer larger bandwidth and unprecedented peak data rates, their practical implementation faces several hardware challenges comp…
A Model-Driven Deep Learning Network for MIMO Detection
Hengtao He, Chao-Kai Wen, Shi Jin +1
In this paper, we propose a model-driven deep learning network for multiple-input multiple-output (MIMO) detection. The structure of the network is specially designed by unfolding…
Model-Driven Deep Learning for Physical Layer Communications
Hengtao He, Shi Jin, Chao-Kai Wen +3
Intelligent communication is gradually considered as the mainstream direction in future wireless communications. As a major branch of machine learning, deep learning (DL) has been…
Deep Learning-based CSI Feedback Approach for Time-varying Massive MIMO Channels
Tianqi Wang, Chao-Kai Wen, Shi Jin +1
Massive multiple-input multiple-output (MIMO) systems rely on channel state information (CSI) feedback to perform precoding and achieve performance gain in frequency division duple…
Efficient Downlink Channel Reconstruction for FDD Multi-Antenna Systems
Yu Han, Tien-Hao Hsu, Chao-Kai Wen +2
In this paper, we propose an efficient downlink channel reconstruction scheme for a frequency-division-duplex multi-antenna system by utilizing uplink channel state information com…
A Low-Resolution ADC Module Assisted Hybrid Beamforming Architecture for mmWave Communications
Jie Yang, Xi Yang, Shi Jin +2
We propose a low-resolution analog-to-digital converter (ADC) module assisted hybrid beamforming architecture for millimeter-wave (mmWave) communications. We prove that the propose…
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems with Low-Resolution ADCs
Hengtao He, Chao-Kai Wen, Shi Jin
Hybrid analog-digital precoding architectures and low-resolution analog-to-digital converter (ADC) receivers are two solutions to reduce hardware cost and power consumption for mil…
Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems
Hengtao He, Chao-Kai Wen, Shi Jin +1
Channel estimation is very challenging when the receiver is equipped with a limited number of radio-frequency (RF) chains in beamspace millimeter-wave (mmWave) massive multiple-inp…
Data-Aided Secure Massive MIMO Transmission with Active Eavesdropping
Yongpeng Wu, Chao-Kai Wen, Wen Chen +3
In this paper, we study the design of secure communication for time division duplexing multi-cell multi-user massive multiple-input multiple-output (MIMO) systems with active eaves…
Reliable OFDM Receiver with Ultra-Low Resolution ADC
Hanqing Wang, Wan-Ting Shih, Chao-Kai Wen +1
The use of low-resolution analog-to-digital converters (ADCs) can significantly reduce power consumption and hardware cost. However, their resulting severe nonlinear distortion mak…