7 papers
Bayesian Bandit Beamforming with Implicit Channel Learning for RIS under Hybrid Near/Far-Field Propagation
Haochen Xu, Junting Chen, Pooi-Yuen Kam
Reconfigurable intelligent surfaces (RISs) can improve high-frequency wireless links by shaping the propagation environment, but their passive architecture makes channel acquisitio…
Privacy-Preserving Federated Radio Map Learning for Wireless Digital Twins via Adaptive Noise Allocation
Jijia Tian, Hao Wang, Mu Jia +3
Radio maps provide a foundational data layer for wireless digital twins, and federated learning offers a natural framework for their distributed construction without centralizing r…
Robust Semantic Transmission for Low-Altitude UAVs: Predictive Channel-Aware Scheduling and Generative Reconstruction
Jijia Tian, Junting Chen, Pooi-Yuen Kam
Unmanned aerial vehicle (UAV) downlink transmission facilitates critical time-sensitive visual applications but is fundamentally constrained by bandwidth scarcity and dynamic chann…
Physics-Aware Tensor Reconstruction for Radio Maps in Pixel-Based Fluid Antenna Systems
Mu Jia, Hao Sun, Junting Chen +1
The deployment of pixel-based antennas and fluid antenna systems (FAS) is hindered by prohibitive channel state information (CSI) acquisition overhead. While radio maps enable proa…
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…
Sensing, Detection and Localization for Low Altitude UAV: A RF-Based Framework via Multiple BSs Collaboration
Tianhao Liang, Mu Jia, Tingting Zhang +4
The rapid growth of the low-altitude economy has resulted in a significant increase in the number of Low, slow, and small (LLS) unmanned aerial vehicles (UAVs), raising critical ch…