225 citations · 288 across the 12 of their papers we have counts for
13 papers
Low-Complexity Channel Estimation Framework for Non-Square UPA-Assisted XL-MIMO Systems
Yilong Liu, Xi Yang, Binggui Zhou +3
Low-complexity channel state information acquisition is crucial for extremely large-scale multiple-input multiple-output (XL-MIMO) systems. However, practical deployments of non-sq…
Lossy Microwave Linear Analog Computer (MiLAC) for Future MIMO: Learning-based Architecture Designs for Spectral and Energy Efficiency Maximization
Binggui Zhou, Bruno Clerckx
Microwave linear analog computers (MiLACs) offer a transformative paradigm for future multiple-input multiple-output (MIMO) systems by shifting complex signal processing into the a…
Joint Training Scattering Matrix Learning and Channel Estimation for Beyond-Diagonal Reconfigurable Intelligent Surfaces
Yiyang Peng, Binggui Zhou, Yutong Zheng +2
Beyond-diagonal reconfigurable intelligent surface (BD-RIS) generalizes the conventional diagonal RIS (D-RIS) by introducing tunable inter-element connections, offering enhanced wa…
Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems
Qikai Xiao, Kehui Li, Binggui Zhou +1
Future wireless communication systems will increasingly rely on the integration of millimeter wave (mmWave) and sub-6 GHz bands to meet heterogeneous demands on high-speed data tra…
Beyond-Diagonal RIS Under Non-Idealities: Learning-Based Architecture Discovery and Optimization
Binggui Zhou, Bruno Clerckx
Beyond-diagonal reconfigurable intelligent surface (BD-RIS) has recently been introduced to enable advanced control over electromagnetic waves to further increase the benefits of t…
Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead
Kehui Li, Binggui Zhou, Jiajia Guo +3
Multi-user millimeter-wave communication relies on narrow beams and dense cell deployments to ensure reliable connectivity. However, tracking optimal beams for multiple mobile user…
Intelligent Angle Map-based Beam Alignment for RIS-aided mmWave Communication Networks
Hao Xia, Qing Xue, Yanping Liu +3
Recently, reconfigurable intelligent surface (RIS) has been widely used to enhance the performance of millimeter wave (mmWave) communication systems, making beam alignment more cha…
Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios
Binggui Zhou, Xi Yang, Shaodan Ma +2
In time division duplexing (TDD) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) can be obtained from uplin…
Robust Beamforming Design and Antenna Selection for Dynamic HRIS-aided MISO System
Jintao Wang, Binggui Zhou, Chengzhi Ma +3
In this paper, we propose a dynamic hybrid active-passive reconfigurable intelligent surface (HRIS) to enhance multiple-input-single-output (MISO) communications, leveraging the pr…
A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems
Binggui Zhou, Xi Yang, Jintao Wang +3
Accurate channel state information (CSI) is essential for downlink precoding in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems with orthog…
AI/ML for Beam Management in 5G-Advanced: A Standardization Perspective
Qing Xue, Jiajia Guo, Binggui Zhou +3
In beamformed wireless cellular systems such as 5G New Radio (NR) networks, beam management (BM) is a crucial operation. In the second phase of 5G NR standardization, known as 5G-A…
Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots
Binggui Zhou, Xi Yang, Shaodan Ma +2
To reap the promising benefits of massive multiple-input multiple-output (MIMO) systems, accurate channel state information (CSI) is required through channel estimation. However, d…
Natural Language Processing for Smart Healthcare
Binggui Zhou, Guanghua Yang, Zheng Shi +1
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare s…