7 papers
Full-Domain Coupler: A Wireless Native Neural Backbone for Channel Representation and Deduction
Zirui Chen, Ziqing Xing, Zhaoyang Zhang +5
Data representation is a fundamental issue in deep learning. However, as wireless data scales and deeply couples across many physical domains such as time, space, and frequency, ex…
Geometry-Aided Channel Deduction: A Robust Channel Acquisition Framework Utilizing Coarse Scenario Prompt
Hongning Ruan, Zhaoyang Zhang, Zirui Chen +2
Channel state information (CSI) is critical for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. Pilot-based channel estimation methods suf…
Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design
Ziqing Xing, Zhaoyang Zhang, Zirui Chen +3
In this paper, we incorporate physical knowledge into learning-based high-precision target sensing using the multi-view channel state information (CSI) between multiple base statio…
Physics-Inspired Target Shape Detection and Reconstruction in mmWave Communication Systems
Ziqing Xing, Zhaoyang Zhang, Xin Tong +2
The integration of sensing and communication (ISAC) is an essential function of future wireless systems. Due to its large available bandwidth, millimeter-wave (mmWave) ISAC systems…
Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization
Zirui Chen, Zhaoyang Zhang, Hongning Ruan +8
Modern learning systems often struggle with joint learning across diverse scenarios and immediate adaptation to new ones, because they rely heavily on the scenario-dependent absolu…
Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model
Zirui Chen, Zhaoyang Zhang, Chenyu Liu +1
Research on leveraging big artificial intelligence model (BAIM) technology to drive the intelligent evolution of wireless networks is emerging. However, breakthroughs in generaliza…