Open access
2026
Data-Efficient Throughput Prediction on 28-GHz 5G via Geometry-Aware Preprocessing and Mobility-Diverse Pre-Training
Millimeter-wave communications are highly vulnerable to line-of-sight (LOS) blockage, which can cause severe link quality (LQ) degradation. To enable proactive control for stable mmWave communication, deep neural network (DNN)-based LQ prediction using physical space information—such as the user equipment (UE) position...
Hisashi Nagata, Kahoko Takahashi, Tomoya Kageyama et al.
· IEEE Access · 0 citations