Awesome Radio Map

July 4, 2026 · View on GitHub

A curated collection of papers and code on learning-based radio maps (RM), also referred to as channel knowledge maps (CKM).

If you find this repository helpful, please consider citing our tutorial paper: A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness

Citation

@misc{wang2026tutoriallearningbasedradiomap,
      title={A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness}, 
      author={Xiucheng Wang and Yuhao Pan and Nan Cheng and Çağkan Yapar and Ruijin Sun and Zhisheng Yin and Conghao Zhou and Wenchao Xu and Yuxiang Zhang and Jianhua Zhang and Shuguang Cui and Xuemin Shen},
      year={2026},
      eprint={2603.17499},
      archivePrefix={arXiv},
      primaryClass={eess.SY},
      url={https://arxiv.org/abs/2603.17499}, 
}

Contributions are welcome. If a relevant paper is missing, please open an issue or contact us.

Papers with Code

Journal

RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction. IEEE TWC 2026. Paper | Code
RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction. IEEE IoTJ 2026. Paper | Code
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction. IEEE TCCN 2025. Paper | Code
RadioDiff- $k^2$ : Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction. IEEE JSAC 2026. Paper | Code
RadioDiff-3D: A 3D × 3D Radio Map Dataset and Generative Diffusion-Based Benchmark for 6G Environment-Aware Communication. IEEE TNSE 2025. Paper | Code
RadioMapMotion: A Dataset and Benchmark for Proactive Spatio-Temporal Radio Environment Prediction. IEEE TCCN 2026. Paper | Code
PathFinder: Advancing Path Loss Prediction for Single-to-Multi-Transmitter Scenario. Pattern Recognition 2026. Paper | Code
R2Net: 2D Deep Residual Learning with Height Embedding for 3D Radio Map Estimation. IEEE TVT 2026. Paper | Code
Paying Deformable Attention to Sparse Spatial Observations for Deep Radio Map Estimation. IEEE TCCN 2025. Paper | Code
RadioMamba: Breaking the Accuracy-Efficiency Trade-Off in Radio Map Construction Via a Hybrid Mamba-UNet. IEEE TNSE 2025. Paper | Code
RadioGAT: A Joint Model-Based and Data-Driven Framework for Multi-Band Radiomap Reconstruction via Graph Attention Networks. IEEE TWC 2024. Paper | Code
A Fine-Grained 3D Radio Map Construction Paradigm With Ultra-Low Sampling Rates by Large Generative Models. IEEE JSAC 2026. Paper | Code
ACT-GAN: Radio map construction based on generative adversarial networks with ACT blocks. IET Communications 2024. Paper | Code
Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach. IEEE TWC 2023. Paper | Code
Deep Completion Autoencoders for Radio Map Estimation. IEEE TWC 2022. Paper | Code
RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks. IEEE TWC 2021. Paper | Code
RME-GAN: A Learning Framework for Radio Map Estimation Based on Conditional Generative Adversarial Network. IEEE IoT J 2023. Paper | Code

Conference

iRadioDiff: Physics Informed Diffusion Model for Effective Indoor Radio Map Construction and Localization. IEEE ICC 2026. Paper | Code
PhyRMDM: Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction. ACM MM BNI 2025. Paper | Code
SIP2Net: Situational-Aware Indoor Pathloss-Map Prediction Network for Radio Map Generation. IEEE ICASSP 2025. Paper | Code
OpenPathNet: An Open-Source RF Multipath Data Generator for AI-Driven Wireless Systems. IEEE VTC2026-Spring. Paper | Code
TransPathNet: A Novel Two-Stage Framework for Indoor Radio Map Prediction. IEEE ICASSP 2025. Paper | Code
PMNet: Robust Pathloss Map Prediction via Supervised Learning. IEEE GlobeCom 2023. Paper | Code

ArXiv

U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach. arXiv 2026. Paper | Code
RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting. arXiv 2025. Paper | Code

Papers without Code

Journal

CSI-Tuples-Based 3-D Channel Fingerprints Construction Assisted by Multimodal Learning. IEEE TWC 2026. Paper
A Three-Stage Vision-Based Transformer for Channel Gain Map Construction. IEEE TCom 2026. Paper
28 GHz Indoor Continuous-Space Channel Measurements and AI-Enabled 6G Channel Map Construction. IEEE TCom 2026. Paper
RMG-SRGAN:Super-Resolution Generative Adversarial Network based on multi-scale attention aggregation and feature enhancement for radio map generation. ICT Express 2026. Paper
Neural Fitting for Sparse Radio Map Construction in LEO Satellite Network. IEEE TMC 2026. Paper
Blind Radio Map Construction via Topology Guided Manifold Learning. IEEE IoT J 2026. Paper
End-to-End UAV-Enabled Adaptive 3D Radio Mapping via Joint Optimization of Sparse Sampling and Reconstruction. IEEE IoT J 2026. Paper
A graph neural network-based method for 3D radio environment map construction in urban scenarios. IEEE JSEE. Paper
Minimum energy consumption of multi-UAV logistics distribution with heading angle constraints based on radio map. J. PhyCom. Paper
Invertible Diffusion for Low-Memory Channel Gain Map Construction in Wireless Communication Networks. IEEE CL 2026. Paper
RMF: one-step radio map reconstruction via mean flow matching. Connection Science 2026. Paper
RadioVAR: Fast Sampling-Free Radio Map Construction via Coarse-to-Fine Token Prediction。 IEEE TCE 2026. Paper
An RT-Supervised Simulation-to-Simulation Framework for Path Loss Radio Map Prediction Based on Geographic Environmental Information. Electronics 2026. Paper
CF-CGN: Channel Fingerprints Extrapolation for Multi-band Massive MIMO Transmission based on Cycle-Consistent Generative Networks. IEEE JSAC 2025. Paper
A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction. IEEE Transactions on Mobile Computing 2025. Paper
Fast Transmission Control Adaptation for URLLC via Channel Knowledge Map and Meta-Learning. IEEE Internet of Things Journal 2025. Paper
Radiation Source Localization Using Radio Maps: A Computer Vision Approach. IEEE Wireless Communications Letters 2025. Paper
SC-GAN: A spectrum cartography with satellite Internet based on Pix2Pix generative adversarial network. China Communications 2025. Paper
KAN Based Interpretable Radio Map Prediction Framework with Symbolic Data Fusion. IEEE Transactions on Cognitive Communications and Networking 2025. Paper
Visual transformer based unified framework for radio map estimation and optimized site selection. IEICE Transactions on Communications 2025. Paper
3D-RadioDiff: An Altitude-Conditioned Diffusion Model for 3D Radio Map Construction. IEEE Wireless Communications Letters 2025. Paper
Radio map estimation using a CycleGAN-based learning framework for 6G wireless communication. Digital Communications and Networks 2025. Paper
Constructing Frequency Modulation-Broadcasting Map Based on Semi-Supervised Clustering. IEEE Transactions on Broadcasting 2025. Paper
Physics-Guided Language Model via Low-Rank Adaptation for Path Loss Prediction. IEEE Transactions on Cognitive Communications and Networking 2025. Paper
Fast Transmission Control Adaptation for URLLC via Channel Knowledge Map and Meta-Learning. IEEE Communications Magazine 2025. Paper
A Data-driven Transfer Learning Method for Indoor Radio Map Estimation. IEEE Transactions on Vehicular Technology 2025. Paper
TiRE-GAN: Task-Incentivized Generative Learning for Radiomap Estimation. IEEE Wireless Communications Letters 2025. Paper
Electromagnetic wave property inspired radio environment knowledge construction and artificial intelligence based verification for 6G digital twin channel. Frontiers of Information Technology & Electronic Engineering 2025. Paper
GPRT: A Gaussian Process Regression-Based Radio Map Construction Method for Rugged Terrain. IEEE Internet of Things Journal 2025. Paper
WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks. IEEE Access 2025. Paper
WiFi-Diffusion: Achieving Fine-Grained WiFi Radio Map Estimation with Ultra-Low Sampling Rate by Diffusion Models. IEEE JSAC 2025. Paper
An I2I Inpainting Approach for Efficient Channel Knowledge Map Construction. IEEE TWC 2025. Paper
Radio Map Prediction from Aerial Images and Application to Coverage Optimization. IEEE TWC 2025. Paper
Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks. IEEE TCCN 2025. Paper
Leveraging Transfer Learning for Radio Map Estimation via Mixture of Experts. IEEE TCCN 2025. Paper
Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning. IEEE TVT 2025. Paper
Channel Gain Map Construction Based on Subregional Learning and Prediction. IEEE TVT 2025. Paper
Time-Variant Radio Map Reconstruction With Optimized Distributed Sensors in Dynamic Spectrum Environments. IEEE IoT J 2025. Paper
A Data-and-Semantic Dual-Driven Intelligent Inference Framework for Simultaneously Spectrum Map Construction and Signal Source Localization. IEEE IoT J 2025. Paper
IMNet: Interference-Aware Channel Knowledge Map Construction and Localization. IEEE WCL 2025. Paper
Geo2ComMap: Deep Learning-Based MIMO Throughput Prediction Using Geographic Data. IEEE WCL 2025. Paper
Two-Stage Radio Map Construction With Real Environments and Sparse Measurements. IEEE WCL 2025. Paper
Physics-Informed Neural Networks for Path Loss Estimation by Solving Electromagnetic Integral Equations. IEEE TWC 2024. Paper
A Scalable and Generalizable Pathloss Map Prediction. IEEE TWC 2024. Paper
Overview on IEEE 802.11bf: WLAN Sensing. IEEE Communications Surveys & Tutorials 2024. Paper
Intelligent reconstruction algorithm of electromagnetic map based on propagation model. Journal of Communications and Networks 2024. Paper
A Novel Multimodal Fusion Sensing-Based Channel Prediction Method for UAV Communications. IEEE Internet of Things Journal 2024. Paper
Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping. IEEE Access 2024. Paper
A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G. IEEE Communications Surveys & Tutorialsls 2024. Paper
Diffraction and Scattering Aware Radio Map and Environment Reconstruction Using Geometry Model-Assisted Deep Learning. IEEE Transactions on Wireless Communications 2024. Paper
Machine Learning for Channel Quality Prediction: From Concept to Experimental Validation. IEEE Transactions on Wireless Communications 2024. Paper
Weighted Ensembles for Adaptive Active Learning. IEEE TSP 2024. Paper
Deep-Learning-Based Radio Map Reconstruction for V2X Communications. IEEE TVT 2024. Paper
Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach. IEEE TMLCN 2024. Paper
Deep Learning for Reduced Sampling Spatial 3-D REM Reconstruction. IEEE OJCOMS 2024. Paper
A Secure Wireless Transmission Scheme: Reconstructing Spatial Radio Environment Map and Redirecting Electromagnetic Signal Propagation Path. IEEE OJCOMS 2025. Paper
Convolutional neural networks for predicting the perceived density of large urban fabrics. Elsevier CEUS 2025. Paper
A robust learning framework for spatial-temporal-spectral radio map prediction. Elsevier ESWA 2025. Paper
Machine learning methods comparison for maritime wireless signal strength prediction. Elsevier JEngAppai 2025. Paper
Vision Transformers for Efficient Indoor Pathloss Radio Map Prediction. MDPI Electronics 2025. Paper
DeepRT: A Hybrid Framework Combining Large Model Architectures and Ray Tracing Principles for 6G Digital Twin Channels. MDPI Electronics 2025. Paper
Deep Learning-Empowered RF Sensing in Outdoor Environments: Recent Advances, Challenges, and Future Directions. MDPI Electronics 2024. Paper
Machine-Learning-Based Path Loss Prediction for Vehicle-to-Vehicle Communication in Highway Environments. MDPI Applied Science 2025. Paper
Reconstruction of Radio Environment Map Based on Multi-Source Domain Adaptive of Graph Neural Network for Regression. MDPI Sensors 2025. Paper
Electromagnetic wave property inspired radio environment knowledge construction and artificial intelligence based verification for 6G digital twin channel. Springer FITEE 2025. Paper
REM-U-Net: Deep Learning Based Agile REM Prediction With Energy-Efficient Cell-Free Use Case. IEEE OJSP 2024. Paper
Rigorous Indoor Wireless Communication System Simulations With Deep Learning-Based Radio Propagation Models. IEEE JMMCT 2024. Paper
A Deep-Learning Approach to a Volumetric Radio Environment Map Construction for UAV-Assisted Networks. Wiley IJAP 2024. Paper
Super-Resolution of Wireless Channel Characteristics: A Multitask Learning Model. IEEE TAP 2023. Paper
Cell-Level RSRP Estimation With the Image-to-Image Wireless Propagation Model Based on Measured Data. IEEE TCCN 2023. Paper
Accurate Spectrum Map Construction for Spectrum Management Through Intelligent Frequency-Spatial Reasoning. IEEE TCOMM 2023. Paper
A Graph Neural Network Based Radio Map Construction Method for Urban Environment. IEEE WLC 2023. Paper
A Deep Learning-Based Indoor Radio Estimation Method Driven by 2.4 GHz Ray-Tracing Data. IEEE Access 2023. Paper
A FL-Based Radio Map Reconstruction Approach for UAV-Aided Wireless Networks. MDPI Electronics 2023. Paper
Multi-Stage RF Emitter Search and Geolocation With UAV: A Cognitive Learning-Based Method. IEEE Transactions on Vehicular Technology 2023. Paper
DeepREM: Deep-Learning-Based Radio Environment Map Estimation From Sparse Measurements. IEEE Access 2023. Paper
Temporal prediction for spectrum environment maps with moving radiation sources. IET Communications 2023. Paper
Machine Learning-Based Urban Canyon Path Loss Prediction Using 28 GHz Manhattan Measurements. IEEE TAP 2022. Paper
Pseudo Ray-Tracing: Deep Leaning Assisted Outdoor mm-Wave Path Loss Prediction. IEEE WLC 2022. Paper
Fast Radio Propagation Prediction with Deep Learning. Compressed Sensing in Information Processing 2022. Paper
An Overview of Propagation Models BasElectriacaled on Deep Learning Techniques. International Journal Electrical Engineering 2022. Paper
An Empirical Study on Using CNNs for Fast Radio Signal Prediction. Springer SN Computer Science 2022. Paper
Machine Learning-Based Radio Coverage Prediction in Urban Environments. IEEE TNSE 2020. Paper
Radiomap Inpainting for Restricted Areas Based on Propagation Priority and Depth Map. IEEE TNSE 2020. Paper

Conference

Compressed Spectrum Cartography: Estimating Wide-Band Channel Gain Maps from Sub-Nyquist Delay Correlations. IEEE ICASSP 2026. Paper
Multiantenna Channel Map Prediction with Missing Location Information using Contrastive Learning and Graph Neural Networks. IEEE ICASSP 2026. Paper
RadioDiff-Turbo: Lightweight Generative Large Electromagnetic Model for Wireless Digital Twin Construction. IEEE INFOCOM wksp 2025. Paper
Radio Map Reconstruction Based on Nas Enhanced Deep Regularization Completion for Uav Communications. 2025 VTC2025-Spring. Paper
DULRTC-RME: A Deep Unrolled Low-rank Tensor Completion Network for Radio Map Estimation. 2025 ICASSP. Paper
FedRME: Importance-Aware Cooperative Radio Map Estimation Empowered by Vertical Federated Learning. 2025 ICC Workshops. Paper
A Diffusion-Based Propagation Model for Path Loss Prediction in Indoor Environments. 2025 EuCAP. Paper
UNet-Based Deep Learning Pathloss Estimator with Boundary Condition Input. 2025 RWS. Paper
Learning Blockage and Reflection Geometry for MIMO Beam Map Construction. ICC 2025 - IEEE International Conference on Communications. Paper
Environment-Aware AoD and AoA Prediction for Wireless Networks Utilizing Machine Learning. 2025 ICAIIC. Paper
Channel-Aware Deep Learning for Superimposed Pilot Power Allocation and Receiver Design. 2025 VTC2025-Spring. Paper
Ultra-Grained Channel Fingerprint Construction via Conditional Generative Diffusion Models. IEEE INFOCOM 2025. Paper
Radio Map Estimation via Latent-Domain Plug-and-Play Denoisers. IEEE ICASSP 2025. Paper
IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction. IEEE ICASSP 2025. Paper
Spatial Transformers for Radio Map Estimation. IEEE ICC 2025. Paper
Generative CKM construction using partially observed data with diffusion model. IEEE VTC-Spring 2025. Paper
Deep Learning-Based CKM Construction with Image Super-Resolution. IEEE VTC-Spring 2025. Paper
Data-and-Semantic Dual-Driven Spectrum Map Construction for 6G Spectrum Management. IEEE GlobeCom 2024. Paper
Channel Knowledge Map Construction with Laplacian Pyramid Reconstruction Network. IEEE WCNC 2024. Paper
Machine Learning-based Predictive Channel Modeling for 6G Wireless Communications Using Image Semantic Segmentation. IEEE PIMRC 2024. Paper
Radio Map Estimation with Deep Dual Path Autoencoders and Skip Connection Learning. IEEE PIMRC 2024. Paper
FedRME: Federated Learning for Enhanced Distributed Radiomap Estimation. IEEE VTC-Fall 2024. Paper
Channel Knowledge Maps Construction Based on Point Cloud Environment Information. IEEE VTC-Fall 2024. Paper
A Transformer-Based Network for Unifying Radio Map Estimation and Optimized Site Selection. 2024 ICASSPW. Paper
Fine Tuning an AI-Based Indoor Radio Propagation Model with Crowd-Sourced Data. 2024 EuCAP. Paper
Distributed Radio Map Reconstruction Based on Semi-Asynchronous Federated Learning Generative Adversarial Networks. 2024 ICCC Workshops. Paper
RobUNet: A Radio Map Construction Method with A Strong Generalization Capability. 2024 IEEE Global Communications Conference. Paper
A 2D Deep Residual Learning Approach for 3D Indoor Radio Map Estimation. ICC 2024 - IEEE International Conference on Communications. Paper
Towards the Metaverse: Distributed Radio Map Reconstruction based on Federated Learning Generative Adversarial Networks. 2024 IWCMC. Paper
Optimal Base Station Sleep Control via Multi-Agent Reinforcement Learning with Data-Driven Radio Environment Map Calibration. 2024 VTC2024-Spring. Paper
A Bayesian Learning Approach to Wireless Outdoor Heatmap Construction Using Deep Gaussian Process. 2024 58th Asilomar Conference on Signals, Systems, and Computers. Paper
A New Approach to Predict Radio Map via Learning-Based Spatial Loss Field. 2024 ICASSPW. Paper
RecuGAN: A Novel Generative AI Approach for Synthesizing RF Coverage Maps. 2024 ICCCN. Paper
Radio Map Reconstruction Based on Transformer from Sparse Measurement. 2024 ICCT. Paper
Deep Learning-Based Radio Estimation Using a Semi-Automatically Created Indoor Building Information. 2024 WCNC. Paper
Evaluation of Transformer Empowered Channel Prediction for 5G and Beyond Communication. 2024 VTC2024-Fall. Paper
Radio Map Estimation (RME) with Deep Progressive Network. 2024 MIPR. Paper
Fast Indoor Radio Propagation Prediction using Deep Learning. 2024 EuCAP. Paper
Deep Machine Learning-Based AoD Map and AoA Map Construction for Wireless Networks. 2024 VTC2024-Spring. Paper
RM-Gen: Conditional Diffusion Model-Based Radio Map Generation for Wireless Networks. IEEE IFIP Networking 2024. Paper
Data-Driven Radio Environment Map Estimation Using Graph Neural Networks. IEEE ICC wksp 2024. Paper
Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN. IEEE ICC wksp 2024. Paper
Radio DIP - Completing Radio Maps using Deep Image Prior. IEEE GlobeCom 2023. Paper
Deep Learning-Based Path Loss Prediction for Outdoor Wireless Communication Systems. IEEE ICASSP 2023. Paper
Agile Radio Map Prediction Using Deep Learning. IEEE ICASSP 2023. Paper
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. IEEE GlobeCom 2023. Paper
IRGAN: cGAN-based Indoor Radio Map Prediction. IEEE IFIP Networking 2023. Paper
IndoorRSSINet - Deep learning based 2D RSSI map prediction for indoor environments with application to wireless localization. IEEE COMSNETS 2023. Paper
UnetRay: A Prediction Method of Indoor Radio Signal Strength Distribution. IEEE ICAIT 2023. Paper
Locswinunet: A Neural Network for Urban Wireless Localization Using TOA and RSS Radio Maps. 2023 MLSP. Paper
Three-Dimensional Radio Spectrum Map Prediction Based on Fully Connected Neural Network. 2023 ICAIT. Paper
Federated Learning-Based Radio Environment Map Construction for Wireless Networks. 2023 IEEE Global Communications Conference. Paper
Propagation Graph Representation Learning and Its Implementation in Direct Path Representation. 2023 WCNC. Paper
UAV-aided Joint Radio Map and 3D Environment Reconstruction using Deep Learning Approaches. IEEE ICC 2022. Paper
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics. IEEE GlobeCom 2022. Paper
Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications. IEEE SPAWC 2022. Paper
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. 2022 ICASSP. Paper
Learning Graph Convolutional Neural Networks to Predict Radio Environment Maps. 2022 WPMC. Paper
RadioResUNet: Wireless Measurement by Deep Learning for Indoor Environments. 2022 WPMC. Paper
Extending Machine Learning Based RF Coverage Predictions to 3D. 2022 AP-S/URSI. Paper
Exemplar-Based Radio Map Reconstruction of Missing Areas Using Propagation Priority. 2022 IEEE Global Communications Conference. Paper
Spatial Prediction of Channel Signal Strength Map Using Deep Fully Convolutional Neural Network. 2022 56th Asilomar Conference on Signals, Systems, and Computers. Paper
Transformer based Radio Map Prediction Model for Dense Urban Environments. IEEE ISAPE 2021. Paper
Radio Map Estimation Using a Generative Adversarial Network and Related Business Aspects. IEEE WPMC 2021. Paper
Prediction of Indoor Wireless Coverage from 3D Floor Plans Using Deep Convolutional Neural Networks. IEEE LCN 2021. Paper

ArXiv

Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites. arXiv 2026. Paper
TGPP: Trajectory-Guided Plug-and-Play Priors for Sparse Radio Map Reconstruction. arXiv 2026. Paper
CSI-tuples-based 3D Channel Fingerprints Construction Assisted by MultiModal Learning. arXiv 2026. Paper
DF-3DRME: A Data-Friendly Learning Framework for 3D Radio Map Estimation based on Super-Resolution Technique. arXiv 2026. Paper
Sparse Gain Radio Map Reconstruction With Geometry Priors and Uncertainty-Guided Measurement Selection. arXiv 2026. Paper
Physics-Aware Query-Conditioned Graph Attention Networks for Radio Map Estimation. arXiv 2026. Paper
FARM: Foundational Aerial Radio Map for Intelligent Low-Altitude Networking. arXiv 2026. Paper
Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework. arXiv 2026. Paper
PILOT: One Physics-Integrated Generation Framework to Unify 2D and 3D Radio Map Construction. arXiv 2026. Paper
CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning. arXiv 2026. Paper
GenMetaLoc: Learning to Learn Environment-Aware Fingerprint Generation for Sample Efficient Wireless Localization. arXiv 2025. Paper
Fusion of Pervasive RF Data with Spatial Images via Vision Transformers for Enhanced Mapping in Smart Cities. arXiv 2025. Paper
BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks. arXiv 2025. Paper
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach. arXiv 2025. Paper
PINN and GNN-based RF Map Construction for Wireless Communication Systems. arXiv 2025. Paper
RMTransformer: Accurate Radio Map Construction and Coverage Prediction. arXiv 2025. Paper
LLM4MG: Adapting Large Language Model for Multipath Generation via Synesthesia of Machines. arXiv 2025. Paper
Machine Learning based Radio Environment Map Estimation for Indoor Visible Light Communication. arXiv 2025. Paper
Bayesian Radio Map Estimation: Fundamentals and Implementation via Diffusion Models. arXiv 2025. Paper
RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation. arXiv 2025. Paper
RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1\textpertenthousand Spatial Sampling. arXiv 2025. Paper
RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation. arXiv 2025. Paper
Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning. arXiv 2025. Paper
ExposNet: A Deep Learning Framework for EMF Exposure Prediction in Complex Urban Environments. arXiv 2025. Paper
FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection. arXiv 2024. Paper
Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing. arXiv 2024. Paper
Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments. arXiv 2024. Paper
A Deep Unfolding-Based Scalarization Approach for Power Control in D2D Networks. arXiv 2024. Paper
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization. arXiv 2024. Paper
White Paper on Radio Channel Modeling and Prediction to Support Future Environment-aware Wireless Communication Systems. arXiv 2023. Paper
Deep Learning Based Active Spatial Channel Gain Prediction Using a Swarm of Unmanned Aerial Vehicles. arXiv 2023. Paper
RadioNet: Transformer based Radio Map Prediction Model For Dense Urban Environments. arXiv 2021. Paper