A Scalable and Generalizable Pathloss Map Prediction

This repo is the official implementation of "A Scalable and Generalizable Pathloss Map Prediction" as well as the follow-ups.

Introduction

PMNet (Neural network tailored for Pathloss Map Prediction (PMP)) is described in arxiv, which capably serves as a backbone for the PMP task.

PMNet achieves strong performance on the PMP task ($10^{-2}$ level RMSE on val), surpassing previous models by a large margin.

Dataset: Ray-Tracing (RT)-based Channel Measurement (Updating...)

Links for Dataset
USC Dataset
Radiomapseer Reduced
Radiomapseer Orginal

Citation

@inproceedings{lee2023pmnet,
      title={PMNet: Robust Pathloss Map Prediction via Supervised Learning}, 
      author={Ju-Hyung Lee and Omer Gokalp Serbetci and Dheeraj Panneer Selvam and Andreas F. Molisch},
      year={2023},
      month={December},
      booktitle={Proceedings of IEEE Global Communicaions Conference (GLOBECOM)},
}