3 papers
eess.SP2026
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…
eess.SP2026
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…
eess.SP2025
Model-Driven Deep Learning Enhanced Joint Beamforming and Mode Switching for RDARS-Aided MIMO Systems
Chengwang Ji, Kehui Li, Haiquan Lu +4
Reconfigurable distributed antenna and reflecting surface (RDARS) is a promising architecture for future sixth-generation (6G) wireless networks. In particular, the dynamic working…