13 citations · 32 across the 7 of their papers we have counts for
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eess.SP2025★ 12 cited
SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework
Yuan Gao, Yiming Liu, Runze Yu +5
Fluid antenna systems (FAS) signify a pivotal advancement in 6G communication by enhancing spectral efficiency and robustness. However, obtaining accurate channel state information…
eess.SP2025★ 7 cited
Enabling 6G Through Multi-Domain Channel Extrapolation: Opportunities and Challenges of Generative Artificial Intelligence
Yuan Gao, Zichen Lu, Yifan Wu +5
Channel extrapolation has attracted wide attention due to its potential to acquire channel state information (CSI) with high accuracy and minimal overhead. This is becoming increas…
eess.SP2025
Context-Aware Deep Learning for Robust Channel Extrapolation in Fluid Antenna Systems
Yanliang Jin, Runze Yu, Yuan Gao +4
Fluid antenna systems (FAS) offer remarkable spatial flexibility but face significant challenges in acquiring high-resolution channel state information (CSI), leading to considerab…