DeepREM: Deep-Learning-Based Radio Environment Map Estimation From Sparse Measurements

DeepREM: Deep-Learning-Based Radio Environment Map Estimation From Sparse Measurements

Radio environment maps depict the coverage area of cellular networks. They are usually estimated by interpolating sparse measurements gathered in test drives. Typical estimation techniques rely on physical or statistical propagation models, known base station locations, topographic data, and/or buil...

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Bibliographic Details
Main Authors: Andrea Chaves-Villota, Carlos A. Viteri-Mera
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
radio environment maps
U-Net
conditional GAN
image-to-image translation
image denoising
Online Access:https://ieeexplore.ieee.org/document/10127968/

Internet

https://ieeexplore.ieee.org/document/10127968/

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