5 papers
A Universal Framework of Superimposed RIS-Phase Modulation for MISO Communication
Jiacheng Yao, Jindan Xu, Wei Xu +2
To fully exploit the additional dimension brought by reconfigurable intelligent surface (RIS), it is recently suggested by information theory that modulating information upon RIS p…
Deep CSI Compression for Massive MIMO: A Self-information Model-driven Neural Network
Ziqing Yin, Wei Xu, Renjie Xie +3
In order to fully exploit the advantages of massive multiple-input multiple-output (mMIMO), it is critical for the transmitter to accurately acquire the channel state information (…
Data Augmentation Empowered Neural Precoding for Multiuser MIMO with MMSE Model
Shaoqing Zhang, Jindan Xu, Wei Xu +3
Precoding design exploiting deep learning methods has been widely studied for multiuser multiple-input multiple-output (MU-MIMO) systems. However, conventional neural precoding des…
Cooperative Reflection Design with Timing Offsets in Distributed Multi-RIS Communications
Yaqiong Zhao, Wei Xu, Huan Sun +2
This letter investigates a wireless communication system deploying distributed reconfigurable intelligent surfaces (RISs). Existing works have assumed that perfect timing synchroni…
A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems
Yuyao Sun, Wei Xu, Le Liang +3
To fully exploit the advantages of massive multiple-input multiple-output (m-MIMO), accurate channel state information (CSI) is required at the transmitter. However, excessive CSI…