3 papers
cs.CV2025
MARS: Radio Map Super-resolution and Reconstruction Method under Sparse Channel Measurements
Chuyun Deng, Na Liu, Wei Xie +2
Radio maps reflect the spatial distribution of signal strength and are essential for applications like smart cities, IoT, and wireless network planning. However, reconstructing acc…
cs.IT2025
Measurements and Modeling of Air-Ground Integrated Channel in Forest Environment Based on OFDM Signals
Zhe Xiao, Shu Sun, Na Liu +2
Forests are frequently impacted by climate conditions, vegetation density, and intricate terrain and geology, which contribute to natural disasters. Personnel engaged in or support…
eess.SP2025
DULRTC-RME: A Deep Unrolled Low-rank Tensor Completion Network for Radio Map Estimation
Yao Wang, Xin Wu, Lianming Xu +2
Radio maps enrich radio propagation and spectrum occupancy information, which provides fundamental support for the operation and optimization of wireless communication systems. Tra…