The First Pathloss Radio Map Prediction Challenge

2023/10/11 by Çağkan Yapar, Fabian Jaensch, Yapar, Çağkan +7 · 2 citations
Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #Speech Recognition and Synthesis #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2310.07658

openalex publication_date 2023/10/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

To foster research and facilitate fair comparisons among recently proposed pathloss radio map prediction methods, we have launched the ICASSP 2023 First Pathloss Radio Map Prediction Challenge. In this short overview paper, we briefly describe the pathloss prediction problem, the provided datasets, the challenge task and the challenge evaluation methodology. Finally, we present the results of the challenge.

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• Radiolunadiff: Estimation of wireless network signal strength in lunar terrain
• RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation

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