21 citations · 22 across the 60 of their papers we have counts for
33 papers · 1 filter
A Graph Foundation Model for Large-Scale MIMO Detection
Xingyu Zhou, Le Liang, Hao Ye +5
Large-scale multiple-input multiple-output (MIMO) detection is fundamental to modern wireless networks but constrained by performance-complexity trade-offs. Existing detectors, whe…
Learnware for CSI Feedback: Scene-specific Small Models Can Do Big
Xiangyi Li, Jiajia Guo, Chao-Kai Wen +3
Intelligent channel state information (CSI) feedback is essential for realizing the high capacity and spectral efficiency goals of future 6G systems, yet existing deep learning sol…
Low-Overhead Receiver Design for Data-Dependent Superimposed Training via Deep Learning
Xinjie Li, Xingyu Zhou, Jing Zhang +3
Superimposed pilot (SIP) transmission improves spectral efficiency by eliminating the dedicated pilot overhead required in orthogonal pilot (OP)-based schemes. However, SIP suffers…
FPNet: Joint Wi-Fi Beamforming Matrix Feedback and Anomaly-Aware Indoor Positioning
Ran Tao, Jiajia Guo, Yiming Cui +3
Channel State Information (CSI) provides a detailed description of the wireless channel and has been widely adopted for Wi-Fi sensing, particularly for high-precision indoor positi…
Physics-Informed Implicit Neural Representation for Wireless Imaging in RIS-Aided ISAC System
Yixuan Huang, Jie Yang, Chao-Kai Wen +1
Wireless imaging has become a vital function in future integrated sensing and communication (ISAC) systems. However, traditional model-based and data-driven deep learning imaging m…
Large and Small Model Collaboration for Air Interface
Yiming Cui, Jiajia Guo, Xiao Li +2
Large artificial intelligence models (LAMs) have shown strong capability in wireless communications, yet existing works mainly rely on their generalized knowledge across environmen…
Reducing Pilots in Channel Estimation with Predictive Foundation Models
Xingyu Zhou, Le Liang, Hao Ye +3
Accurate channel state information (CSI) acquisition is essential for modern wireless systems, which becomes increasingly difficult under large antenna arrays, strict pilot overhea…
Next-Generation AI-Native Wireless Communications: MCMC-Based Receiver Architectures for Unified Processing
Xingyu Zhou, Le Liang, Jing Zhang +2
The multiple-input multiple-output (MIMO) receiver processing is a key technology for current and next-generation wireless communications. However, it faces significant challenges…
Deep Learning-based Position-domain Channel Extrapolation for Cell-Free Massive MIMO
Jiajia Guo, Chao-Kai Wen, Xiao Li +1
To reduce channel acquisition overhead, spatial, time, and frequency-domain channel extrapolation techniques have been widely studied. In this paper, we propose a novel deep learni…
Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation
Xinjie Li, Xingyu Zhou, Yixiao Cao +4
The superimposed pilot transmission scheme offers substantial potential for improving spectral efficiency in MIMO-OFDM systems, but it presents significant challenges for receiver…
Cooperative Mapping, Localization, and Beam Management via Multi-Modal SLAM in ISAC Systems
Hang Que, Jie Yang, Tao Du +3
Simultaneous localization and mapping (SLAM) plays a critical role in integrated sensing and communication (ISAC) systems for sixth-generation (6G) millimeter-wave (mmWave) network…
LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks
Jiajia Guo, Peiwen Jiang, Chao-Kai Wen +2
Accurate channel state information (CSI) is critical to the performance of wireless communication systems, especially with the increasing scale and complexity introduced by 5G and…
RIS-Aided Cooperative ISAC Networks for Structural Health Monitoring
Jie Yang, Chao-Kai Wen, Xiao Li +1
Integrated sensing and communication (ISAC) is a key feature of future cellular systems, enabling applications such as intruder detection, monitoring, and tracking using the same i…
Joint Spatial Division and Multiplexing with Customized Orthogonal Group Channels in Multi-RIS-Assisted Systems
Weicong Chen, Chao-Kai Wen, Wankai Tang +2
Reconfigurable intelligent surfaces (RISs) offer the unique capability to reshape the radio environment, thereby simplifying transmission schemes traditionally contingent on channe…
Learned Off-Grid Imager for Low-Altitude Economy with Cooperative ISAC Network
Yixuan Huang, Jie Yang, Shuqiang Xia +2
The low-altitude economy is emerging as a key driver of future economic growth, necessitating effective flight activity surveillance using existing mobile cellular network sensing…
Experimental Evaluation of Multiple Active RISs for 5G MIMO Commercial Networks
Feng-Ji Chen, Chao-Kai Wen, De-Ming Chian
While numerous experimental studies have demonstrated the feasibility of reconfigurable intelligent surface (RIS) technology, most have primarily focused on extending coverage. In…
Learned Intelligent Recognizer with Adaptively Customized RIS Phases in Communication Systems
Yixuan Huang, Jie Yang, Chao-Kai Wen +3
This study presents an advanced wireless system that embeds target recognition within reconfigurable intelligent surface (RIS)-aided communication systems, powered by cuttingedge d…
Cooperative ISAC Network for Off-Grid Imaging-based Low-Altitude Surveillance
Yixuan Huang, Jie Yang, Chao-Kai Wen +3
The low-altitude economy has emerged as a critical focus for future economic development, emphasizing the urgent need for flight activity surveillance utilizing the existing sensin…
Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach with Reduced Computational Overhead
Xinjie Li, Jing Zhang, Xingyu Zhou +2
The acquisition of channel state information (CSI) is essential in MIMO-OFDM communication systems. Data-aided enhanced receivers, by incorporating domain knowledge, effectively mi…
AdapCsiNet: Environment-Adaptive CSI Feedback via Scene Graph-Aided Deep Learning
Jiayi Liu, Jiajia Guo, Yiming Cui +2
Accurate channel state information (CSI) is critical for realizing the full potential of multiple-antenna wireless communication systems. While deep learning (DL)-based CSI feedbac…
Integrated Communication and Learned Recognizer with Customized RIS Phases and Sensing Durations
Yixuan Huang, Jie Yang, Chao-Kai Wen +1
Future wireless communication networks are expected to be smarter and more aware of their surroundings, enabling a wide range of context-aware applications. Reconfigurable intellig…
Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback
Yiming Cui, Jiajia Guo, Chao-Kai Wen +2
Large language models (LLMs) have achieved remarkable success across a wide range of tasks, particularly in natural language processing and computer vision. This success naturally…
Prompt-Enabled Large AI Models for CSI Feedback
Jiajia Guo, Yiming Cui, Chao-Kai Wen +1
Artificial intelligence (AI) has emerged as a promising tool for channel state information (CSI) feedback. While recent research primarily focuses on improving feedback accuracy on…
Channel Customization for Low-Complexity CSI Acquisition in Multi-RIS-Assisted MIMO Systems
Weicong Chen, Yu Han, Chao-Kai Wen +2
The deployment of multiple reconfigurable intelligent surfaces (RISs) enhances the propagation environment by improving channel quality, but it also complicates channel estimation.…