467 citations · 3.3k across the 111 of their papers we have counts for
80 papers · 1 filter
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…
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…
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…
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…
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…
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…
A Bayesian Receiver with Improved Complexity-Reliability Trade-off in Massive MIMO Systems
Alva Kosasih, Vera Miloslavskaya, Wibowo Hardjawana +3
The stringent requirements on reliability and processing delay in the fifth-generation (G) cellular networks introduce considerable challenges in the design of massive multiple-…
Channel Customization for Joint Tx-RISs-Rx Design in Hybrid mmWave Systems
Weicong Chen, Chao-Kai Wen, Xiao Li +1
In strong line-of-sight millimeter-wave (mmWave) wireless systems, the rank-deficient channel severely hampers spatial multiplexing. To address this inherent deficiency, multiple r…
Enabling Plug-and-Play and Crowdsourcing SLAM in Wireless Communication Systems
Jie Yang, Chao-Kai Wen, Shi Jin +1
Simultaneous localization and mapping (SLAM) during communication is emerging. This technology promises to provide information on propagation environments and transceivers' locatio…
Integrated Sensing and Communication with Multi-Domain Cooperation
Jie Yang, Xi Yang, Chao-Kai Wen +1
With the continuous increase of the spectrum and antennas, endogenous sensing is now possible in the fifth generation and future wireless communication systems. However, sensing is…
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…
Model-based Learning Network for 3-D Localization in mmWave Communications
Jie Yang, Shi Jin, Chao-Kai Wen +3
This study considers the joint location and velocity estimation of UE and scatterers in a three-dimensional mmWave CRAN architecture. Several existing works have achieved satisfact…
Large System Achievable Rate Analysis of RIS-Assisted MIMO Wireless Communication with Statistical CSIT
Jun Zhang, Jie Liu, Shaodan Ma +2
Reconfigurable intelligent surface (RIS) is an emerging technology to enhance wireless communication in terms of energy cost and system performance by equipping a considerable quan…
CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learning
Jiajia Guo, Chao-Kai Wen, Shi Jin
In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overheads. In this paper, we propose an…
Interplay between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems
Jinghe Wang, Wankai Tang, Yu Han +5
Future wireless communication networks are expected to fulfill the unprecedented performance requirements to support our highly digitized and globally data-driven society. Various…