1 citations · 1 across the 5 of their papers we have counts for
5 papers
Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Framework
Zhilin Du, Haozhen Li, Zhenyu Liu +3
The advent of deep learning (DL)-based models has significantly advanced Channel State Information (CSI) feedback mechanisms in wireless communication systems. However, traditional…
HybridCVLNet: A Hybrid CSI Feedback System and its Domain Adaptation
Haozhen Li, Xinyu Gu, Boyuan Zhang +3
Deep Learning (DL)-based channel state information (CSI) feedback is a promising technique for the transmitter to accurately acquire the CSI of massive multiple-input multiple-outp…
Multi-task Deep Neural Networks for Massive MIMO CSI Feedback
Boyuan Zhang, Haozhen Li, Xin Liang +2
Deep learning has been widely applied for the channel state information (CSI) feedback in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system. F…
Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning
Xin Liang, Haoran Chang, Haozhen Li +2
Deep learning (DL)-based channel state information (CSI) feedback improves the capacity and energy efficiency of massive multiple-input multiple-output (MIMO) systems in frequency…
CSI Sensing and Feedback: A Semi-Supervised Learning Approach
Haozhen Li, Boyuan Zhang, Xin Liang +3
Deep learning-based (DL-based) channel state information (CSI) feedback for a Massive multiple-input multiple-output (MIMO) system has proved to be a creative and efficient applica…