1 citations · 1 across the 4 of their papers we have counts for
Showing eess.SPShow all
3 papers · 1 filter
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.SP2024★ 1 cited
Diffraction and Scattering Aware Radio Map and Environment Reconstruction using Geometry Model-Assisted Deep Learning
Wangqian Chen, Junting Chen
Machine learning (ML) facilitates rapid channel modeling for 5G and beyond wireless communication systems. Many existing ML techniques utilize a city map to construct the radio map…