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eess.SP2025
Geometry-Aligned Differential Privacy for Location-Safe Federated Radio Map Construction
Jijia Tian, Wangqian Chen, Junting Chen +1
Radio maps that describe spatial variations in wireless signal strength are widely used to optimize networks and support aerial platforms. Their construction requires location-labe…
eess.SP2025
Self-Localizing MIMO Beam Mapping with Continuously Evolving Channel Memory
Wangqian Chen, Junting Chen, Shuguang Cui
Machine learning has greatly advanced data-driven channel modeling and resource optimization. However, most existing methods require accurately location-labeled datasets, which are…
eess.SY2025
Physics-Informed Neural Networks for MIMO Beam Map and Environment Reconstruction
Wangqian Chen, Junting Chen, Shuguang Cui
As communication networks evolve towards greater complexity (e.g., 6G and beyond), a deep understanding of the wireless environment becomes increasingly crucial. When explicit know…