3 papers
eess.SP2026
Deep Learning-Based Tri-Hybrid Multi-User MIMO Precoding: The Blessing of EM-Reconfigurable Antennas
Kaijun Feng, Jiaxin He, Hongrui Yu +4
Electromagnetic (EM)-reconfigurable antennas provide multiple candidate radiation patterns per element, thereby introducing an additional EM-domain degree of freedom. Integrating r…
cs.IT2026
Deep learning based Channel Estimation and Beamforming in Movable Antenna Systems
Kaijun Feng, Ziwei Wan, Anwen Liao +5
Movable antenna (MA) has emerged as a promising technology for future wireless systems. Compared with traditional fixed-position antennas, MA improves system performance by antenna…
eess.SP2025
AI Signal Processing Paradigm for Movable Antenna: From Spatial Position Optimization to Electromagnetic Reconfigurability
Yining Li, Ziwei Wan, Chongjia Sun +10
As 6G wireless communication systems evolve toward intelligence, high reconfigurability, and space-air-ground integration \cite{liu2025toward, liu2024near}, the limitations of trad…