2 citations · 2 across the 12 of their papers we have counts for
6 papers · 1 filter
Physics-Informed Path-Parametric Learning for Efficient and Lightweight CSI Feedback
Chunyu Ling, Jiajia Guo, Yiming Cui +4
Channel State Information (CSI) feedback is vital for high spectral efficiency in wireless systems, yet high-dimensional CSI introduce significant feedback overhead. Recent deep le…
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…
Efficient Deep Learning-based Cascaded Channel Feedback in RIS-Assisted Communications
Yiming Cui, Jiajia Guo, Chao-Kai Wen +1
In the realm of reconfigurable intelligent surface (RIS)-assisted communication systems, the connection between a base station (BS) and user equipment (UE) is formed by a cascaded…
Deep Learning-based CSI Feedback in Wi-Fi Systems
Fan Qi, Jiajia Guo, Yiming Cui +3
In Wi-Fi systems, channel state information (CSI) plays a crucial role in enabling access points to execute beamforming operations. However, the feedback overhead associated with C…
Communication-efficient Personalized Federated Edge Learning for Massive MIMO CSI Feedback
Yiming Cui, Jiajia Guo, Chao-Kai Wen +1
Deep learning (DL)-based channel state information (CSI) feedback has received significant research attention in recent years. However, previous research has overlooked the potenti…
Lightweight Neural Network with Knowledge Distillation for CSI Feedback
Yiming Cui, Jiajia Guo, Zheng Cao +5
Deep learning has shown promise in enhancing channel state information (CSI) feedback. However, many studies indicate that better feedback performance often accompanies higher comp…