9 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…
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…
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…
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…
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…