The First Pathloss Radio Map Prediction Challenge

Cagkan Yapar; Fabian Jaensch; Ron Levie; Gitta Kutyniok; Giuseppe Caire

doi:10.1109/ICASSP49357.2023.10433928

The First Pathloss Radio Map Prediction Challenge

Cagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Mathematics

Technion - Israel Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOIs	https://doi.org/10.1109/ICASSP49357.2023.10433928
State	Published - 2023
Event	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece Duration: 4 Jun 2023 → 10 Jun 2023

Keywords

RSS
dataset
deep learning
pathloss
radio map

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP49357.2023.10433928

Cite this

@article{daa9c78675474409b0108a95554e25ee,

title = "The First Pathloss Radio Map Prediction Challenge",

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.",

keywords = "RSS, dataset, deep learning, pathloss, radio map",

author = "Cagkan Yapar and Fabian Jaensch and Ron Levie and Gitta Kutyniok and Giuseppe Caire",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 ; Conference date: 04-06-2023 Through 10-06-2023",

year = "2023",

doi = "10.1109/ICASSP49357.2023.10433928",

language = "الإنجليزيّة",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - The First Pathloss Radio Map Prediction Challenge

AU - Yapar, Cagkan

AU - Jaensch, Fabian

AU - Levie, Ron

AU - Kutyniok, Gitta

AU - Caire, Giuseppe

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - RSS

KW - dataset

KW - deep learning

KW - pathloss

KW - radio map

UR - http://www.scopus.com/inward/record.url?scp=85185226422&partnerID=8YFLogxK

U2 - 10.1109/ICASSP49357.2023.10433928

DO - 10.1109/ICASSP49357.2023.10433928

M3 - مقالة من مؤنمر

SN - 1520-6149

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

Y2 - 4 June 2023 through 10 June 2023

ER -

The First Pathloss Radio Map Prediction Challenge

Abstract

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this