1.5k citations · 2.2k across the 54 of their papers we have counts for
55 papers
Near-Field Communication with Massive Movable Antennas: An Electrostatic Equilibrium Perspective
Shicong Liu, Xianghao Yu, Shenghui Song +1
Recent advancements in large-scale position-reconfigurable antennas have opened up new dimensions to effectively utilize the spatial degrees of freedom (DoFs) of wireless channels.…
Joint Radiation Power, Antenna Position, and Beamforming Optimization for Pinching-Antenna Systems with Motion Power Consumption
Yiming Xu, Dongfang Xu, Xianghao Yu +3
Pinching-antenna systems (PASS) have been recently proposed to improve the performance of wireless networks by reconfiguring both the large-scale and small-scale channel conditions…
Beamforming for PIN Diode-Based IRS-Assisted Systems Under a Phase Shift-Dependent Power Consumption Model
Qiucen Wu, Tian Lin, Xianghao Yu +2
Intelligent reflecting surfaces (IRSs) have been regarded as a promising enabler for future wireless communication systems. In the literature, IRSs have been considered power-free…
Interference Mitigation for Network-Level ISAC: An Optimization Perspective
Dongfang Xu, Yiming Xu, Xin Zhang +3
Future wireless networks are envisioned to simultaneously provide high data-rate communication and ubiquitous environment-aware services for numerous users. One promising approach…
Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO
Ruoxiao Cao, Hengtao He, Xianghao Yu +5
The next-generation wireless networks are envisioned to jointly support high-rate communications and ubiquitous sensing. Ultra-Massive Multiple-Input Multiple-Output (UM-MIMO) offe…
Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO
Wentao Yu, Hengtao He, Xianghao Yu +4
Holographic MIMO (HMIMO) is being increasingly recognized as a key enabling technology for 6G wireless systems through the deployment of an extremely large number of antennas withi…
Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments
Wentao Yu, Hengtao He, Xianghao Yu +4
Holographic MIMO (HMIMO) has recently been recognized as a promising enabler for future 6G systems through the use of an ultra-massive number of antennas in a compact space to expl…
DPSS-based Codebook Design for Near-Field XL-MIMO Channel Estimation
Shicong Liu, Xianghao Yu, Zhen Gao +1
Future sixth-generation (6G) systems are expected to leverage extremely large-scale multiple-input multiple-output (XL-MIMO) technology, which significantly expands the range of th…
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems
Hengtao He, Xianghao Yu, Jun Zhang +2
As one of the core technologies for 5G systems, massive multiple-input multiple-output (MIMO) introduces dramatic capacity improvements along with very high beamforming and spatial…
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation
Wentao Yu, Yifei Shen, Hengtao He +4
Terahertz ultra-massive MIMO (THz UM-MIMO) is envisioned as one of the key enablers of 6G wireless networks, for which channel estimation is highly challenging. Traditional analyti…
Lightweight and Flexible Deep Equilibrium Learning for CSI Feedback in FDD Massive MIMO
Yifan Ma, Wentao Yu, Xianghao Yu +3
In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) needs to be sent back to the base station (BS)…
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation
Wentao Yu, Hengtao He, Xianghao Yu +3
Reliability is of paramount importance for the physical layer of wireless systems due to its decisive impact on end-to-end performance. However, the uncertainty of prevailing deep…
Integrated Sensing and Communication in Distributed Antenna Networks
Dongfang Xu, Ata Khalili, Xianghao Yu +2
In this paper, we investigate the resource allocation design for integrated sensing and communication (ISAC) in distributed antenna networks (DANs). In particular, coordinated by a…
Augmented Deep Unfolding for Downlink Beamforming in Multi-cell Massive MIMO With Limited Feedback
Yifan Ma, Xianghao Yu, Jun Zhang +2
In limited feedback multi-user multiple-input multiple-output (MU-MIMO) cellular networks, users send quantized information about the channel conditions to the associated base stat…
Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO
Chenhao Qi, Qiang Liu, Xianghao Yu +1
A variable-phase-shifter (VPS) architecture with hybrid precoding for mixture use of phase shifters and switches, is proposed for millimeter wave massive multiple-input multiple-ou…
Intelligent Reflecting Surface-Aided Maneuvering Target Sensing: True Velocity Estimation
Lei Xie, Xianghao Yu, S. H. Song
Maneuvering target sensing will be an important service of future vehicular networks, where precise velocity estimation is one of the core tasks. To this end, the recently proposed…
Robust and Secure Resource Allocation for ISAC Systems: A Novel Optimization Framework for Variable-Length Snapshots
Dongfang Xu, Xianghao Yu, Derrick Wing Kwan Ng +2
In this paper, we investigate the robust resource allocation design for secure communication in an integrated sensing and communication (ISAC) system. A multi-antenna dual-function…
GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection
Hengtao He, Alva Kosasih, Xianghao Yu +4
Efficient massive/ultra-massive multiple-input multiple-output (MIMO) detection algorithms with satisfactory performance and low complexity are critical to meet the high throughput…
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks
Wentao Yu, Yifei Shen, Hengtao He +3
Terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) is envisioned as one of the key enablers of 6G wireless systems. Due to the joint effect of its array aperture…
Cell-Free Massive MIMO for 6G Wireless Communication Networks
Hengtao He, Xianghao Yu, Jun Zhang +2
The recently commercialized fifth-generation (5G) wireless communication networks achieved many improvements, including air interface enhancement, spectrum expansion, and network i…
Outage and Finite-SNR DMT Analysis for IRS-aided MIMO Systems: How Large IRSs Need to Be?
Xin Zhang, Xianghao Yu, S. H. Song
Intelligent reflecting surfaces (IRSs) are promising enablers for high-capacity wireless communication systems by constructing favorable channels between the transmitter and receiv…
Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach
Hengtao He, Xianghao Yu, Jun Zhang +2
Cell-free massive MIMO is one of the core technologies for future wireless networks. It is expected to bring enormous benefits, including ultra-high reliability, data throughput, e…
Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems: A Tutorial Overview
Zhiqiang Wei, Xianghao Yu, Derrick Wing Kwan Ng +1
Over the last decade, simultaneous wireless information and power transfer (SWIPT) has become a practical and promising solution for connecting and recharging battery-limited devic…
Learn to Communicate with Neural Calibration: Scalability and Generalization
Yifan Ma, Yifei Shen, Xianghao Yu +3
The conventional design of wireless communication systems typically relies on established mathematical models that capture the characteristics of different communication modules. U…