Radio Map Prediction from Aerial Images and Application to Coverage Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Jaensch, Fabian, Caire, Giuseppe, Demir, Begüm |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments
by: Jaensch, Fabian, et al.
Published: (2024)
by: Jaensch, Fabian, et al.
Published: (2024)
Radio Map Prediction from Noisy Environment Information and Sparse Observations
by: Jaensch, Fabian, et al.
Published: (2026)
by: Jaensch, Fabian, et al.
Published: (2026)
Beam Index Map Prediction in Unseen Environments from Geospatial Data
by: Jaensch, Fabian, et al.
Published: (2025)
by: Jaensch, Fabian, et al.
Published: (2025)
Dataset of Pathloss and ToA Radio Maps With Localization Application
by: Yapar, Çağkan, et al.
Published: (2022)
by: Yapar, Çağkan, et al.
Published: (2022)
RMTransformer: Accurate Radio Map Construction and Coverage Prediction
by: Li, Yuxuan, et al.
Published: (2025)
by: Li, Yuxuan, et al.
Published: (2025)
Distributed Beam Alignment in sub-THz D2D Networks
by: Pedraza, Fernando, et al.
Published: (2024)
by: Pedraza, Fernando, et al.
Published: (2024)
The First Indoor Pathloss Radio Map Prediction Challenge
by: Bakirtzis, Stefanos, et al.
Published: (2025)
by: Bakirtzis, Stefanos, et al.
Published: (2025)
IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction
by: Feng, Bin, et al.
Published: (2025)
by: Feng, Bin, et al.
Published: (2025)
RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse
by: Wang, Xiucheng, et al.
Published: (2026)
by: Wang, Xiucheng, et al.
Published: (2026)
Radio Map Estimation via Latent Domain Plug-and-Play Denoising
by: Xu, Le, et al.
Published: (2025)
by: Xu, Le, et al.
Published: (2025)
Constructing Indoor Region-based Radio Map without Location Labels
by: Xing, Zheng, et al.
Published: (2023)
by: Xing, Zheng, et al.
Published: (2023)
Deep-Learning-Based Channel Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul
by: Bordbar, Alireza, et al.
Published: (2024)
by: Bordbar, Alireza, et al.
Published: (2024)
Diffraction and Scattering Aware Radio Map and Environment Reconstruction using Geometry Model-Assisted Deep Learning
by: Chen, Wangqian, et al.
Published: (2024)
by: Chen, Wangqian, et al.
Published: (2024)
Performance Optimization of Energy-Harvesting Underlay Cognitive Radio Networks Using Reinforcement Learning
by: Tashman, Deemah H., et al.
Published: (2025)
by: Tashman, Deemah H., et al.
Published: (2025)
Learning Sheaf Laplacian Optimizing Restriction Maps
by: Di Nino, Leonardo, et al.
Published: (2025)
by: Di Nino, Leonardo, et al.
Published: (2025)
FM-RME: Foundation Model Empowered Radio Map Estimation
by: Yang, Dong, et al.
Published: (2026)
by: Yang, Dong, et al.
Published: (2026)
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering
by: Akiyama, Yuki, et al.
Published: (2024)
by: Akiyama, Yuki, et al.
Published: (2024)
Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
by: Dempsey, Ryan G., et al.
Published: (2025)
by: Dempsey, Ryan G., et al.
Published: (2025)
Channel Charting in Smart Radio Environments
by: Maleki, Mahdi, et al.
Published: (2025)
by: Maleki, Mahdi, et al.
Published: (2025)
Coverage Analysis for Digital Cousin Selection -- Improving Multi-Environment Q-Learning
by: Bozkus, Talha, et al.
Published: (2024)
by: Bozkus, Talha, et al.
Published: (2024)
Map-Based Path Loss Prediction in Multiple Cities Using Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2024)
by: Dempsey, Ryan G., et al.
Published: (2024)
Geodesic Optimization for Predictive Shift Adaptation on EEG data
by: Mellot, Apolline, et al.
Published: (2024)
by: Mellot, Apolline, et al.
Published: (2024)
Optimized Certainty Equivalent Risk-Controlling Prediction Sets
by: Huang, Jiayi, et al.
Published: (2026)
by: Huang, Jiayi, et al.
Published: (2026)
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting
by: Clark IV, William H., et al.
Published: (2022)
by: Clark IV, William H., et al.
Published: (2022)
ReFormer: Generating Radio Fakes for Data Augmentation
by: Kaasaragadda, Yagna, et al.
Published: (2024)
by: Kaasaragadda, Yagna, et al.
Published: (2024)
Multi-modal Image and Radio Frequency Fusion for Optimizing Vehicle Positioning
by: Huan, Ouwen, et al.
Published: (2024)
by: Huan, Ouwen, et al.
Published: (2024)
U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
by: Li, Xiaojie, et al.
Published: (2026)
by: Li, Xiaojie, et al.
Published: (2026)
Robust Bayesian Optimization via Localized Online Conformal Prediction
by: Kim, Dongwon, et al.
Published: (2024)
by: Kim, Dongwon, et al.
Published: (2024)
Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems using DRL and PSO
by: Dhuheir, Marwan, et al.
Published: (2024)
by: Dhuheir, Marwan, et al.
Published: (2024)
Majorization-Minimization Networks for Inverse Problems: An Application to EEG Imaging
by: Tran, Le Minh Triet, et al.
Published: (2026)
by: Tran, Le Minh Triet, et al.
Published: (2026)
Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change
by: Vemula, Sreenath, et al.
Published: (2025)
by: Vemula, Sreenath, et al.
Published: (2025)
RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communications
by: Zhang, Qiming, et al.
Published: (2025)
by: Zhang, Qiming, et al.
Published: (2025)
Physics-Inspired Distributed Radio Map Estimation
by: Yang, Dong, et al.
Published: (2025)
by: Yang, Dong, et al.
Published: (2025)
Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels
by: Ott, Jonathan, et al.
Published: (2025)
by: Ott, Jonathan, et al.
Published: (2025)
RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNet
by: Jia, Honggang, et al.
Published: (2025)
by: Jia, Honggang, et al.
Published: (2025)
RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge
by: Lancho, Alejandro, et al.
Published: (2024)
by: Lancho, Alejandro, et al.
Published: (2024)
Utilizing Machine Learning for Signal Classification and Noise Reduction in Amateur Radio
by: Sanchez, Jimi
Published: (2024)
by: Sanchez, Jimi
Published: (2024)
Digital Operating Mode Classification of Real-World Amateur Radio Transmissions
by: Bundscherer, Maximilian, et al.
Published: (2025)
by: Bundscherer, Maximilian, et al.
Published: (2025)
Mitigating Receiver Impact on Radio Frequency Fingerprint Identification via Domain Adaptation
by: Yang, Liu, et al.
Published: (2024)
by: Yang, Liu, et al.
Published: (2024)
Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization
by: Yaman, Ilayda, et al.
Published: (2025)
by: Yaman, Ilayda, et al.
Published: (2025)
Similar Items
-
Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments
by: Jaensch, Fabian, et al.
Published: (2024) -
Radio Map Prediction from Noisy Environment Information and Sparse Observations
by: Jaensch, Fabian, et al.
Published: (2026) -
Beam Index Map Prediction in Unseen Environments from Geospatial Data
by: Jaensch, Fabian, et al.
Published: (2025) -
Dataset of Pathloss and ToA Radio Maps With Localization Application
by: Yapar, Çağkan, et al.
Published: (2022) -
RMTransformer: Accurate Radio Map Construction and Coverage Prediction
by: Li, Yuxuan, et al.
Published: (2025)