2 citations · 2 across the 17 of their papers we have counts for
19 papers
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…
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…
NF-TrackLLM: Joint Prediction of UAV Trajectory and Near-Field Beam for LAE XL-MIMO Systems
Qianfan Lu, Mengyuan Li, Jiachen Tian +3
User localization and beam management are tightly linked in extremely large-scale multiple-input multiple-output (XL-MIMO) systems, especially in dense low-altitude economy (LAE) s…
Propagation-Consistent Wireless Environment Digital Twin Construction Under Sparse Measurements
Junjie Ai, Shurui Xu, Yanqing Ren +6
Digital twins (DTs) are promising for wireless deployment, optimization, and data generation, but building a propagation-faithful twin from sparse real measurements remains difficu…
Towards Physically Consistent 4D Scene Reconstruction for Closed-loop Autonomous Driving Simulation
Bowyn Tan, Yutong Xie, Bai Huang +5
High-fidelity street scene reconstruction is pivotal for end-to-end autonomous driving simulation, where novel-view synthesis (NVS) and time-varying information modeling are two fu…
XFreq-GS: Cross-Frequency Wireless Radiation Field Reconstruction with 3D Gaussian Splatting
Sheng Wang, Hengtao He, Chaozheng Wen +5
Channel modeling is fundamental to the analysis, design, and optimization of wireless communication systems, which, however, accurate wireless channel modeling remains challenging,…
Beam Prediction Based on Multimodal Large Language Models
Tianhao Mao, Le Liang, Jie Yang +3
Accurate beam prediction is a key enabler for next-generation wireless communication systems. In this paper, we propose a multimodal large language model (LLM)-based beam predictio…
Structure-Aware Multimodal LLM Framework for Trustworthy Near-Field Beam Prediction
Mengyuan Li, Qianfan Lu, Jiachen Tian +5
In near-field extremely large-scale multiple-input multiple-output (XL-MIMO) systems, spherical wavefront propagation expands the traditional beam codebook into the joint angular-d…
Multimodal-NF: A Wireless Dataset for Near-Field Low-Altitude Sensing and Communications
Mengyuan Li, Qianfan Lu, Jiachen Tian +5
Environment-aware 6G wireless networks demand the deep integration of multimodal and wireless data. However, most existing datasets are confined to 2D terrestrial far-field scenari…
Semantic Satellite Communications for Synchronized Audiovisual Reconstruction
Fangyu Liu, Peiwen Jiang, Wenjin Wang +2
Satellite communications face severe bottlenecks in supporting high-fidelity synchronized audiovisual services, as conventional schemes struggle with cross-modal coherence under fl…
Deep Learning-based Low-Overhead Beam Alignment for mmWave Massive MIMO Systems
Weijie Jin, Jing Zhang, Hengtao He +3
Millimeter-wave massive multiple-input multiple-output systems employ highly directional beamforming to overcome severe path loss, and their performance critically depends on accur…
Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
Yongwei Yi, Xinping Yi, Wenjin Wang +2
In practical Multiuser Multiple-Input Multiple-Output (MU-MIMO) systems, symbol detection remains challenging due to severe inter-user interference and sensitivity to Channel State…
Power Consumption and Energy Efficiency of Mid-Band XL-MIMO: Modeling, Scaling Laws, and Performance Insights
Jiachen Tian, Yu Han, Xiao Li +2
Mid-band extra-large-scale multiple-input multiple-output (XL-MIMO), emerging as a critical enabler for future communication systems, is expected to deliver significantly higher th…
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…
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…
Limited Feedback in RIS-Assisted Wireless Communications: Use Cases, Challenges, and Future Directions
Weicong Chen, Jiajia Guo, Yiming Cui +2
Channel state information (CSI) is essential to unlock the potential of reconfigurable intelligent surfaces (RISs) in wireless communication systems. Since massive RIS elements are…
Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems
Yu Ma, Xingyu Zhou, Xiao Li +2
Reconfigurable intelligent surfaces (RIS) are key enablers for 6G wireless systems. This paper studies downlink transmission in an RIS-assisted MISO-OFDMA system, addressing resour…
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…