1.7k citations · 2.3k across the 33 of their papers we have counts for
38 papers
Radiomap Blind Prediction under Incomplete Observation: Error Characterization and Correctable Propagation-Prior Learning
Xiaojie Li, Yu Han, Han Fang +4
Radiomap blind prediction aims to infer radiomaps from observable representations of the propagation environment and base station configuration without field measurements. In pract…
Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations
Xiaojie Li, Yu Han, Han Fang +3
Radiomap blind prediction infers radiomaps from observable representations of the propagation environment and base station (BS) configuration without field measurements. These repr…
Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications
Jiali Nie, Yu Han, Yuanhao Cui +3
Near-field beam training in extremely large-scale multiple-input multiple-output (XL-MIMO) vehicle-to-infrastructure (V2I) systems incurs high overhead due to large range-angle cod…
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…
XL-ChannelDiff: An Efficient Diffusion-Based Multi-Domain Near-Field Channel Extrapolation Framework for XL-MIMO Systems
Mengyuan Li, Yu Han, Hao Xu +3
Accurate channel state information (CSI) acquisition is essential for unleashing the performance gains of extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Ho…
Digital Twin-Based Channel Generation Toolchain and Foundation Model for Low-Altitude XL-MIMO
Mengyuan Li, Yu Han, Jiachen Tian +2
The rapid development of the low-altitude economy (LAE) has created growing demand for reliable aerial communication systems. Extremely large-scale multiple-input multiple-output (…