Deep Learning-Based Indoor Path Loss Prediction Model With Spatial Attention
Path loss (PL) prediction is critical for wireless networks and most data traffic originates indoors. Effective network planning and base station deployment in high-frequency bands of 5G/6G systems necessitate addressing the accuracy–efficiency tradeoff. We propose a deep learning framework that combines dilated convol...