467 citations · 3.3k across the 111 of their papers we have counts for
112 papers
Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedback
Xiangyi Li, Jiajia Guo, Chao-Kai Wen +1
Deep learning has revolutionized the design of the channel state information (CSI) feedback module in wireless communications. However, designing the optimal neural network (NN) ar…
Low-Complexity Joint Beamforming for RIS-Assisted MU-MISO Systems Based on Model-Driven Deep Learning
Weijie Jin, Jing Zhang, Chao-Kai Wen +3
Reconfigurable intelligent surfaces (RIS) can improve signal propagation environments by adjusting the phase of the incident signal. However, optimizing the phase shifts jointly wi…
Semantic Communications using Foundation Models: Design Approaches and Open Issues
Peiwen Jiang, Chao-Kai Wen, Xinping Yi +3
Foundation models (FMs), including large language models, have become increasingly popular due to their wide-ranging applicability and ability to understand human-like semantics. W…
Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers
Xingyu Zhou, Jing Zhang, Chao-Kai Wen +2
Deep neural networks (NNs) are considered a powerful tool for balancing the performance and complexity of multiple-input multiple-output (MIMO) receivers due to their accurate feat…
RIS-Enhanced Semantic Communications Adaptive to User Requirements
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
Semantic communication significantly reduces required bandwidth by understanding semantic meaning of the transmitted. However, current deep learning-based semantic communication me…
Gradient-Based Markov Chain Monte Carlo for MIMO Detection
Xingyu Zhou, Le Liang, Jing Zhang +2
Accurately detecting symbols transmitted over multiple-input multiple-output (MIMO) wireless channels is crucial in realizing the benefits of MIMO techniques. However, optimal MIMO…
Joint Beam Management and SLAM for mmWave Communication Systems
Hang Que, Jie Yang, Chao-Kai Wen +3
The millimeter-wave (mmWave) communication technology, which employs large-scale antenna arrays, enables inherent sensing capabilities. Simultaneous localization and mapping (SLAM)…
Active RIS-Assisted MIMO-OFDM System: Analyses and Prototype Measurements
De-Ming Chian, Feng-Ji Chen, Yu-Chen Chang +5
In this study, we develop an active reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) prototyp…
Angle-based SLAM on 5G mmWave Systems: Design, Implementation, and Measurement
Jie Yang, Chao-Kai Wen, Jing Xu +3
Simultaneous localization and mapping (SLAM) is a key technology that provides user equipment (UE) tracking and environment mapping services, enabling the deep integration of sensi…
Joint Localization and Environment Sensing by Harnessing NLOS Components in RIS-aided mmWave Communication Systems
Yixuan Huang, Jie Yang, Wankai Tang +3
This study explores the use of non-line-of-sight (NLOS) components in millimeter-wave (mmWave) communication systems for joint localization and environment sensing. The radar cross…
Multi-timescale Channel Customization for Transmission Design in RIS-assisted MIMO Systems
Weicong Chen, Chao-Kai Wen, Xiao Li +1
The performance of transmission schemes is heavily influenced by the wireless channel, which is typically considered an uncontrollable factor. However, the introduction of reconfig…
Channel Customization for Limited Feedback in RIS-assisted FDD Systems
Weicong Chen, Chao-Kai Wen, Xiao Li +2
Reconfigurable intelligent surfaces (RISs) represent a pioneering technology to realize smart electromagnetic environments by reshaping the wireless channel. \textcolor[rgb]{0,0,0}…
MIMO Evolution toward 6G: End-User-Centric Collaborative MIMO
Lung-Sheng Tsai, Shang-Ling Shih, Pei-Kai Liao +1
In 6G, the trend of transitioning from massive antenna elements to even more massive ones is continued. However, installing additional antennas in the limited space of user equipme…
A Novel Channel Model for Reconfigurable Intelligent Surfaces with Consideration of Polarization and Switch Impairments
De-Ming Chian, Chao-Kai Wen, Chi-Hung Wu +2
Future wireless networks require the ability to actively adjust the wireless environment to meet strict performance indicators. Reconfigurable Intelligent Surface (RIS) technology…
Communication-efficient Personalized Federated Edge Learning for Massive MIMO CSI Feedback
Yiming Cui, Jiajia Guo, Chao-Kai Wen +1
Deep learning (DL)-based channel state information (CSI) feedback has received significant research attention in recent years. However, previous research has overlooked the potenti…
Multi-domain Cooperative SLAM: The Enabler for Integrated Sensing and Communications
Jie Yang, Chao-Kai Wen, Xi Yang +3
Simultaneous localization and mapping (SLAM) provides user tracking and environmental mapping capabilities, enabling communication systems to gain situational awareness. Advanced c…
Wireless Semantic Transmission via Revising Modules in Conventional Communications
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
Semantic communication has become a popular research area due its high spectrum efficiency and error-correction performance. Some studies use deep learning to extract semantic feat…
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
Jiajia Guo, Chao-Kai Wen, Shi Jin +1
Many performance gains achieved by massive multiple-input and multiple-output depend on the accuracy of the downlink channel state information (CSI) at the transmitter (base statio…
Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results
Xingyu Zhou, Jing Zhang, Chen-Wei Syu +3
Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM), a fundamental transmission scheme, promises high throughput and robustness against multipath…
AI for CSI Feedback Enhancement in 5G-Advanced
Jiajia Guo, Chao-Kai Wen, Shi Jin +1
The 3rd Generation Partnership Project started the study of Release 18 in 2021. Artificial intelligence (AI)-native air interface is one of the key features of Release 18, where AI…
Wireless Semantic Communications for Video Conferencing
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
Video conferencing has become a popular mode of meeting even if it consumes considerable communication resources. Conventional video compression causes resolution reduction under l…
Multi-task Learning-based CSI Feedback Design in Multiple Scenarios
Xiangyi Li, Jiajia Guo, Chao-Kai Wen +3
For frequency division duplex systems, the essential downlink channel state information (CSI) feedback includes the links of compression, feedback, decompression and reconstruction…
Hybrid Active and Passive Sensing for SLAM in Wireless Communication Systems
Jie Yang, Chao-Kai Wen, Shi Jin
Integrating sensing functions into future mobile equipment has become an important trend. Realizing different types of sensing and achieving mutual enhancement under the existing c…
A Linear Bayesian Learning Receiver Scheme for Massive MIMO Systems
Alva Kosasih, Wibowo Hardjawana, Branka Vucetic +1
Much stringent reliability and processing latency requirements in ultra-reliable-low-latency-communication (URLLC) traffic make the design of linear massive multiple-input-multiple…