2 papers
eess.SP2026
Zero-Shot Frequency Generalization for Radio Map Prediction via Cross-Attention Physics-Residual Learning
Sajjad Hussain
Deep learning models for radio map prediction are trained and tested at the same carriers and cannot serve unseen frequencies. We propose a two-stream network learning a residual o…
eess.SP2025
A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks
Sajjad Hussain
Accurate pathloss prediction is essential for the design and optimization of UAV-assisted millimeter-wave (mmWave) networks. While deep learning approaches have shown strong potent…