102 citations · 181 across the 19 of their papers we have counts for
7 papers · 1 filter
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…
Worst-case Design for RIS-aided Over-the-air Computation with Imperfect CSI
Wenhui Zhang, Jindan Xu, Wei Xu +2
Over-the-air computation (AirComp) enables fast wireless data aggregation at the receiver through concurrent transmission by sensors in the application of Internet-of-Things (IoT).…
Closed-form Approximation for Performance Bound of Finite Blocklength Massive MIMO Transmission
Xiaohu You, Bin Sheng, Yongming Huang +5
Ultra-reliable low latency communications (uRLLC) is adopted in the fifth generation (5G) mobile networks to better support mission-critical applications that demand high level of…
Semi-supervised MIMO Detection Using Cycle-consistent Generative Adversarial Network
Hongzhi Zhu, Yongliang Guo, Wei Xu +1
In this paper, a new semi-supervised deep multiple-input multiple-output (MIMO) detection approach using a cycle-consistent generative adversarial network (CycleGAN) is proposed fo…
Cooperative Reflection and Synchronization Design for Distributed Multiple-RIS Communications
Yaqiong Zhao, Wei Xu, Xiaohu You +2
To reap the promised gain achieved by distributed reconfigurable intelligent surfaces (RISs)-enhanced communications in a wireless network, timing synchronization among these metas…
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…