Overview of the First Pathloss Radio Map Prediction Challenge

Ç Yapar, F Jaensch, R Levie… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Pathloss quantifies the reduction in power density of a signal radiated from a transmitter. The
attenuation is due to large-scale effects such as free-space propagation loss and …

A scalable and generalizable pathloss map prediction

JH Lee, AF Molisch - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Large-scale channel prediction, ie, estimation of the pathloss from geographical/
morphological/building maps, is an essential component of wireless network planning. Ray …

Fast Indoor Radio Propagation Prediction using Deep Learning

AJ Flórez-González, CA Viteri-Mera… - 2024 18th European …, 2024 - ieeexplore.ieee.org
We introduce efficient deep learning models that estimate maps of two indoor radio
propagation parameters: i) received power and ii) cell association. These models, based on …

The First Pathloss Radio Map Prediction Challenge

Ç Yapar, F Jaensch, R Levie… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
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 …

DeepAlloc: Deep Learning Approach to Spectrum Allocation in Shared Spectrum Systems

M Ghaderibaneh, C Zhan, H Gupta - IEEE Access, 2024 - ieeexplore.ieee.org
Shared spectrum systems facilitate spectrum allocation to unlicensed users without harming
the licensed users; they offer great promise in optimizing spectrum utility, but their …

[PDF][PDF] REM-Net+: 3D Radio Environment Map Construction Guided by Radio Propagation Model

Q Chen, M Huang, J Yang - Authorea Preprints, 2024 - techrxiv.org
3D Radio Environment Map (REM) serve as effective tools for optimizing wireless network
deployment and radio management. Different from the construction of 2D REM, height …