activity
20152026
most citedWireless Network Digital Twin for 6G: Generative AI as A Key Enabler

102 citations · 181 across the 19 of their papers we have counts for

collaborators

19 papers

cs.IT2026

Large Language Model Empowered CSI Feedback in Massive MIMO Systems

Jie Wu, Wei Xu, Le Liang +2

Despite the success of large language models (LLMs) across domains, their potential for efficient channel state information (CSI) compression and feedback in frequency division dup…

eess.SP2025

Channel-Aware Deep Learning for Superimposed Pilot Power Allocation and Receiver Design

Run Gu, Renjie Xie, Wei Xu +2

Superimposed pilot (SIP) schemes face significant challenges in effectively superimposing and separating pilot and data signals, especially in multiuser mobility scenarios with rap…

cs.IT2024

Joint MIMO Transceiver and Reflector Design for Reconfigurable Intelligent Surface-Assisted Communication

Yaqiong Zhao, Jindan Xu, Wei Xu +4

In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output communication system with multiple antennas at both the base station (…

cs.IT2024★ 3 cited

Digital versus Analog Transmissions for Federated Learning over Wireless Networks

Jiacheng Yao, Wei Xu, Zhaohui Yang +3

In this paper, we quantitatively compare these two effective communication schemes, i.e., digital and analog ones, for wireless federated learning (FL) over resource-constrained ne…

cs.LG2023★ 17 cited

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network

Zhenyu Tao, Wei Xu, Xiaohu You

The proliferation of diverse wireless services in 5G and beyond has led to the emergence of network slicing technologies. Among these, admission control plays a crucial role in ach…

cs.NI2023★ 102 cited

Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler

Zhenyu Tao, Wei Xu, Yongming Huang +2

Digital twin, which enables emulation, evaluation, and optimization of physical entities through synchronized digital replicas, has gained increasing attention as a promising techn…

cs.IT2023

Superimposed RIS-phase Modulation for MIMO Communications: A Novel Paradigm of Information Transfer

Jiacheng Yao, Jindan Xu, Wei Xu +2

Reconfigurable intelligent surface (RIS) is regarded as an important enabling technology for the sixth-generation (6G) network. Recently, modulating information in reflection patte…

cs.IT2023

Imperfect CSI: A Key Factor of Uncertainty to Over-the-Air Federated Learning

Jiacheng Yao, Zhaohui Yang, Wei Xu +2

Over-the-air computation (AirComp) has recently been identified as a prominent technique to enhance communication efficiency of wireless federated learning (FL). This letter invest…

cs.IT2023★ 2 cited

Robust Beamforming Design for RIS-aided Cell-free Systems with CSI Uncertainties and Capacity-limited Backhaul

Jiacheng Yao, Jindan Xu, Wei Xu +3

In this paper, we consider the robust beamforming design in a reconfigurable intelligent surface (RIS)-aided cell-free (CF) system considering the channel state information (CSI) u…

cs.IT2022

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…

cs.IT2022

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).…

cs.IT2022★ 3 cited

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…

eess.SP2022★ 1 cited

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…

cs.IT2022★ 47 cited

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…

cs.IT2022

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 (…

cs.IT2022

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…

cs.IT2021

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…

cs.IT2021

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…

cs.IT2015★ 6 cited

ACO-OFDM-Specified Recoverable Upper Clipping With Efficient Detection for Optical Wireless Communications

W. Xu, M. Wu, H. Zhang +2

The high peak-to-average-power ratio (PAPR) of orthogonal frequency-division multiplexing (OFDM) degrades the performance in optical wireless communication systems. This paper prop…