A curated collection of learning-based radio maps, radio environment maps (REM), channel maps, channel knowledge maps (CKM), and wireless radiance fields based on NeRF or 3D Gaussian splatting.
If you find this repository helpful, please cite the tutorial paper:
A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
@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}
}| Collection | Journals | Conferences | Preprints | Total |
|---|---|---|---|---|
| With code | 19 | 9 | 5 | 33 |
| Without code | 150 | 152 | 48 | 350 |
| All papers | 169 | 161 | 53 | 383 |
2026 9 papers
- A Fine-Grained 3D Radio Map Construction Paradigm With Ultra-Low Sampling Rates by Large Generative Models
IEEE Journal on Selected Areas in Communications 2026 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 16.8 - PathFinder: Advancing Path Loss Prediction for Single-to-Multi-Transmitter Scenario
Pattern Recognition 2026 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 7.6 - R2Net: 2D Deep Residual Learning with Height Embedding for 3D Radio Map Estimation
IEEE Transactions on Vehicular Technology 2026 · Paper · Code · JCR Q1 · 中科院分区 2 · IF 7.5 - RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction
IEEE Internet of Things Journal 2026 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 8.7 - RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction
IEEE Transactions on Wireless Communications 2026 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 10.3 - RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
IEEE Journal on Selected Areas in Communications 2026 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 16.8 - RadioMapMotion: A Dataset and Benchmark for Proactive Spatio-Temporal Radio Environment Prediction
IEEE Transactions on Cognitive Communications and Networking 2026 · Paper · Code · JCR Q1 · 中科院分区 2 · IF 8.0 - RadioTrace: Transmitter-Aware Diffusion for Radio Map Estimation Without Deployment-Time Fine-Tuning
IEEE Transactions on Wireless Communications 2026 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 10.3 - RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting
IEEE Transactions on Wireless Communications 2026 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 10.3
2025 4 papers
- Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting Approach
IEEE Transactions on Wireless Communications 2025 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 10.3 - Paying Deformable Attention to Sparse Spatial Observations for Deep Radio Map Estimation
IEEE Transactions on Cognitive Communications and Networking 2025 · Paper · Code · JCR Q1 · 中科院分区 2 · IF 8.0 - RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
IEEE Transactions on Cognitive Communications and Networking 2025 · Paper · Code · JCR Q1 · 中科院分区 2 · IF 8.0 - RadioMamba: Breaking the Accuracy-Efficiency Trade-Off in Radio Map Construction Via a Hybrid Mamba-UNet
IEEE Transactions on Network Science and Engineering 2025 · Paper · Code · JCR Q1 · 中科院分区 2 · IF 7.3
2024 and Earlier 6 papers
- ACT-GAN: Radio map construction based on generative adversarial networks with ACT blocks
IET Communications 2024 · Paper · Code · JCR None · 中科院分区 None · IF 1.6 - Deep Completion Autoencoders for Radio Map Estimation
IEEE Transactions on Wireless Communications 2022 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 10.3 - RadioGAT: A Joint Model-Based and Data-Driven Framework for Multi-Band Radiomap Reconstruction via Graph Attention Networks
IEEE Transactions on Wireless Communications 2024 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 10.3 - RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks
IEEE Transactions on Wireless Communications 2021 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 10.3 - Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach
IEEE Transactions on Wireless Communications 2023 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 10.3 - RME-GAN: A Learning Framework for Radio Map Estimation Based on Conditional Generative Adversarial Network
IEEE Internet of Things Journal 2023 · Paper · Code · JCR Q1 · 中科院分区 1 · IF 8.7
2026 3 papers
- iRadioDiff: Physics-Informed Diffusion Model for Indoor Radio Map Construction and Localization
IEEE ICC 2026 · Paper · Code - OpenPathNet: An Open-Source RF Multipath Data Generator for AI-Driven Wireless Systems
IEEE VTC-Spring 2026 · Paper · Code - Physics-Informed VAE-EVT for Tail-Aware Radio Map Prediction
IEEE GLOBECOM 2026 · Paper · Code
2025 5 papers
- FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection
RSS 2025 · Paper · Code - GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis
NeurIPS 2025 · Paper · Code - 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 - TransPathNet: A Novel Two-Stage Framework for Indoor Radio Map Prediction
IEEE ICASSP 2025 · Paper · Code
2024 and Earlier 1 paper
2026 4 papers
- ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation
arXiv 2026 · Paper · Code - U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
arXiv 2026 · Paper · Code - XFreq-GS: Cross-Frequency Wireless Radiation Field Reconstruction with 3D Gaussian Splatting
arXiv 2026 · Paper · Code - Zero-Shot Frequency Generalization for Radio Map Prediction via Cross-Attention Physics-Residual Learning
arXiv 2026 · Paper · Code
2024 and Earlier 1 paper
2026 58 papers
- 28 GHz Indoor Continuous-Space Channel Measurements and AI-Enabled 6G Channel Map Construction
IEEE Transactions on Communications 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 8.4 - A Deep Unfolding-Based Scalarization Approach for Power Control in D2D Networks
IEEE Transactions on Wireless Communications 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - A graph neural network-based method for 3D radio environment map construction in urban scenarios
Journal of Systems Engineering and Electronics 2026 · Paper · JCR None · 中科院分区 None · IF None - A Low-Complexity Channel Knowledge Map Construction Based on Environmental Partitioning and Interpolation Weight Learning
IEEE Internet of Things Journal 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model
IEEE Transactions on Vehicular Technology 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - A Three-Stage Vision-Based Transformer for Channel Gain Map Construction
IEEE Transactions on Communications 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 8.4 - Active Sampling and Gaussian Reconstruction for Radio-Frequency Radiance Field
IEEE Journal on Selected Areas in Information Theory 2026 · Paper · JCR Q3 · 中科院分区 None · IF 2.3 - Adaptive Multi-Modal Channel Knowledge Map Construction for Robust Beam Prediction
IEEE Transactions on Vehicular Technology 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - Adversarial Learning-Based Radio Map Reconstruction for Fingerprinting Localization
IEEE Antennas and Wireless Propagation Letters 2026 · Paper · JCR Q2 · 中科院分区 3 · IF 4.6 - An RT-Supervised Simulation-to-Simulation Framework for Path Loss Radio Map Prediction Based on Geographic Environmental Information
Electronics 2026 · Paper · JCR Q2 · 中科院分区 None · IF 2.9 - Bayesian Neural Field-Based 3-D Radio Environment Map Reconstruction With Uncertainty Quantification Under Sparse Sampling
IEEE Open Journal of the Communications Society 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 6.2 - BeamCKM: A Framework of Channel Knowledge Map Construction for Multi-Antenna Systems
IEEE Transactions on Wireless Communications 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Blind Radio Map Construction via Topology Guided Manifold Learning
IEEE Internet of Things Journal 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - Bridging Visual and Wireless Sensing via a Unified Radiation Field for 3D Radio Map Construction
npj Wireless Technology 2026 · Paper · Repository · JCR None · 中科院分区 None · IF None ·Repository placeholder - Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach
IEEE Transactions on Wireless Communications 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Channel Gain Map Estimation Based on 3-D Virtual Scatterer Model
IEEE Transactions on Wireless Communications 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Channel Knowledge Map Construction: Recent Advances and Open Challenges
IEEE Wireless Communications 2026 · Paper · JCR Q1 · 中科院分区 None · IF 13.4 - Channel Knowledge Map Construction via Guided Flow Matching
IEEE Wireless Communications Letters 2026 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - Channel Knowledge Map Construction With Radio Propagation Graph Representation Learning
IEEE Internet of Things Journal 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - Constructing Radio Map via Spatio-Temporal Learning of Crowdsourced Trajectory Data
IEEE Transactions on Mobile Computing 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.8 - CSI-Tuples-Based 3-D Channel Fingerprints Construction Assisted by Multimodal Learning
IEEE Transactions on Wireless Communications 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Deformable 2D Gaussian Splatting for Efficient Wireless Radiance Field Rendering
IEEE Transactions on Visualization and Computer Graphics 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 6.8 - Digital Twin-Assisted 3D Channel Knowledge Map Inference and Multi-Type Base Station Deployment Optimization for Urban Low-Altitude Economy
IEEE Transactions on Mobile Computing 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.8 - End-to-End UAV-Enabled Adaptive 3D Radio Mapping via Joint Optimization of Sparse Sampling and Reconstruction
IEEE Internet of Things Journal 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - ExposNet: A Deep Learning Framework for EMF Exposure Prediction in Complex Urban Environments
IEEE Transactions on Machine Learning in Communications and Networking 2026 · Paper · JCR Q2 · 中科院分区 None · IF 4.9 - F4-CKM: Learning Channel Knowledge Map With Radio Frequency Radiance Field Rendering
IEEE Transactions on Communications 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 8.4 - Fast Aerial Channel Knowledge Map Construction via an Energy-Constrained UAV
IEEE Transactions on Vehicular Technology 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - Flow Matching for Fast Channel Knowledge Map Construction in AI-Native 6G Networks
IEEE Wireless Communications Letters 2026 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - Fusion of Pervasive RF Data with Spatial Images via Vision Transformers for Enhanced Mapping in Smart Cities
Pervasive and Mobile Computing 2026 · Paper · JCR None · 中科院分区 None · IF 3.5 - Geometry-Aware Cholesky Projection for Indoor Radio Map Sampling
IEEE Signal Processing Letters 2026 · Paper · JCR Q2 · 中科院分区 None · IF 3.6 - HiFiRadio: High-Fidelity Radio Map Reconstruction for 3D Real-World Scenes
Technologies 2026 · Paper · JCR Q1 · 中科院分区 None · IF 5.2 - Invertible Diffusion for Low-Memory Channel Gain Map Construction in Wireless Communication Networks
IEEE Communications Letters 2026 · Paper · JCR Q2 · 中科院分区 3 · IF 4.5 - Minimum energy consumption of multi-UAV logistics distribution with heading angle constraints based on radio map
Physical Communication 2026 · Paper · JCR None · 中科院分区 None · IF None - Multiple Source Localization via Local Radio Map Construction in Urban Environments
IEEE Transactions on Cognitive Communications and Networking 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 8.0 - Neural Fitting for Sparse Radio Map Construction in LEO Satellite Network
IEEE Transactions on Mobile Computing 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.8 - Physics-Guided Neural Radiance Field Network for Multi-Antenna Channel Prediction
IEEE Antennas and Wireless Propagation Letters 2026 · Paper · JCR Q2 · 中科院分区 3 · IF 4.6 - PhySNet: Physics-Inspired Spectral-Spatial Decoupled Attention for Radio Map Estimation
IEEE Communications Letters 2026 · Paper · JCR Q2 · 中科院分区 3 · IF 4.5 - Point Cloud Environment-Based Channel Knowledge Map Construction
IEEE Transactions on Cognitive Communications and Networking 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 8.0 - Prior Information for 6G Network: From Channel Knowledge Map to Radio Profile
IEEE Communications Magazine 2026 · Paper · JCR Q1 · 中科院分区 None · IF 8.3 - Radio Map Estimation via Latent Domain Plug-and-Play Denoising
IEEE Transactions on Signal Processing 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 5.5 - Radio Radiance Field: The New Frontier of Spatial Wireless Channel Representation
IEEE Communications Magazine 2026 · Paper · JCR Q1 · 中科院分区 None · IF 8.3 - RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation
IEEE Transactions on Cognitive Communications and Networking 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 8.0 - RadioGen3D: 3D Radio Map Generation via Adversarial Learning on Large-Scale Synthetic Data
IEEE Transactions on Vehicular Technology 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - RadioVAR: Fast Sampling-Free Radio Map Construction via Coarse-to-Fine Token Prediction
IEEE Transactions on Consumer Electronics 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 9.9 - Rank-Adaptive Bayesian Tensor Ring Completion for Low-Altitude 5D Radio Environment Map Construction
Big Data and Cognitive Computing 2026 · Paper · JCR Q1 · 中科院分区 None · IF 5.3 - Rapid Generation of Channel Knowledge Map by Joint Physics and Conditional Diffusion Models
IEEE Transactions on Network Science and Engineering 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 7.3 - REM-Net+: Quantified 3D Radio Environment Map Construction Guided by Radio Propagation Model
IEEE Transactions on Vehicular Technology 2026 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - RMF: one-step radio map reconstruction via mean flow matching
Connection Science 2026 · Paper · JCR None · 中科院分区 None · IF None - RMG-SRGAN: Super-Resolution Generative Adversarial Network based on multi-scale attention aggregation and feature enhancement for radio map generation
ICT Express 2026 · Paper · JCR None · 中科院分区 None · IF None - Scene Structure Based Neural Radio-Frequency Radiance Fields for Channel Knowledge Map Construction
IEEE Wireless Communications Letters 2026 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework
IEEE Transactions on Wireless Communications 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - STFD-SNN: A Physics-Constrained Spiking Neural Network Framework for Maritime Radio Environment Map Reconstruction
IEEE Internet of Things Journal 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning
IEEE Transactions on Mobile Computing 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 8.8 - Topology-Aware Embedding Network for Label-Free Radio Map Construction
IEEE Transactions on Wireless Communications 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Toward Precise Channel Knowledge Map: Exploiting Environmental Information from 2D Visuals to 3D Point Clouds
IEEE Communications Magazine 2026 · Paper · JCR Q1 · 中科院分区 None · IF 8.3 - UniRM: A Universal Large Model for Multiband 3D Radio Map Construction
IEEE Journal on Selected Areas in Communications 2026 · Paper · JCR Q1 · 中科院分区 1 · IF 16.8 - Visual Transformer Based Unified Framework for Radio Map Estimation and Optimized Site Selection
IEICE Transactions on Communications 2026 · Paper · JCR None · 中科院分区 None · IF None - VoxelRF: Voxelized Radiance Field for Fast Wireless Channel Modeling
IEEE Communications Letters 2026 · Paper · JCR Q2 · 中科院分区 3 · IF 4.5
2025 59 papers
- 3-D Radio Map Estimation Based on Active Measurement Trajectory Selection
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - 3D-RadioDiff: An Altitude-Conditioned Diffusion Model for 3D Radio Map Construction
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - A Data-and-Semantic Dual-Driven Intelligent Inference Framework for Simultaneously Spectrum Map Construction and Signal Source Localization
IEEE Internet of Things Journal 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - A Data-driven Transfer Learning Method for Indoor Radio Map Estimation
IEEE Transactions on Vehicular Technology 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction
IEEE Transactions on Mobile Computing 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 8.8 - A Recent Survey on Radio Map Estimation Methods for Wireless Networks
Electronics 2025 · Paper · JCR Q2 · 中科院分区 None · IF 2.9 - A robust learning framework for spatial-temporal-spectral radio map prediction
Expert Systems with Applications 2025 · Paper · JCR None · 中科院分区 None · IF 7.5 - A Sampling Method for Radio Environment Map Reconstruction Based on Multiarea Gudmundson Model
IEEE Sensors Journal 2025 · Paper · JCR Q2 · 中科院分区 None · IF 4.5 - A Secure Wireless Transmission Scheme: Reconstructing Spatial Radio Environment Map and Redirecting Electromagnetic Signal Propagation Path
IEEE Open Journal of the Communications Society 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 6.2 - An Accurate Radio Environment Map Reconstruction Method
IEEE Sensors Journal 2025 · Paper · JCR Q2 · 中科院分区 None · IF 4.5 - An I2I Inpainting Approach for Efficient Channel Knowledge Map Construction
IEEE Transactions on Wireless Communications 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - An Overview on IEEE 802.11bf: WLAN Sensing
IEEE Communications Surveys & Tutorials 2025 · Paper · JCR Q1 · 中科院分区 None · IF 50.6 - CF-CGN: Channel Fingerprints Extrapolation for Multi-band Massive MIMO Transmission based on Cycle-Consistent Generative Networks
IEEE Journal on Selected Areas in Communications 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 16.8 - Channel Gain Map Construction Based on Subregional Learning and Prediction
IEEE Transactions on Vehicular Technology 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - Channel Gain Map Estimation for Wireless Networks Based on Scatterer Model
IEEE Transactions on Wireless Communications 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Channel Knowledge Map for Cellular-Connected UAV via Binary Bayesian Filtering
IEEE Transactions on Communications 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 8.4 - CKMImageNet: A Dataset for AI-Based Channel Knowledge Map Toward Environment-Aware Communication and Sensing
IEEE Transactions on Communications 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 8.4 - Constructing Frequency Modulation-Broadcasting Map Based on Semi-Supervised Clustering
IEEE Transactions on Broadcasting 2025 · Paper · JCR Q1 · 中科院分区 None · IF 5.9 - Convolutional neural networks for predicting the perceived density of large urban fabrics
Computers, Environment and Urban Systems 2025 · Paper · JCR None · 中科院分区 None · IF None - Deep Learning-Empowered RF Sensing in Outdoor Environments: Recent Advances, Challenges, and Future Directions
Electronics 2025 · Paper · JCR Q2 · 中科院分区 None · IF 2.9 - DeepRT: A Hybrid Framework Combining Large Model Architectures and Ray Tracing Principles for 6G Digital Twin Channels
Electronics 2025 · Paper · JCR Q2 · 中科院分区 None · IF 2.9 - Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks
IEEE Transactions on Cognitive Communications and Networking 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 8.0 - 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 · JCR None · 中科院分区 None · IF None - Fast Transmission Control Adaptation for URLLC via Channel Knowledge Map and Meta-Learning
IEEE Internet of Things Journal 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning
IEEE Transactions on Vehicular Technology 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - Geo2ComMap: Deep Learning-Based MIMO Throughput Prediction Using Geographic Data
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - GPRT: A Gaussian Process Regression-Based Radio Map Construction Method for Rugged Terrain
IEEE Internet of Things Journal 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - Grid-Free Radio Map Estimation via Unsupervised Implicit Continuous Representation
IEEE Signal Processing Letters 2025 · Paper · JCR Q2 · 中科院分区 None · IF 3.6 - GS3D: Signal Recovery in 3-D Wireless Networks With Gaussian Splatting-Synergized Stable Diffusion
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - High-Efficiency Urban 3D Radio Map Estimation Based on Sparse Measurements
IEEE Transactions on Vehicular Technology 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - IMNet: Interference-Aware Channel Knowledge Map Construction and Localization
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - Interference-Cancellation-Based Channel Knowledge Map Construction and Its Applications to Channel Estimation
IEEE Transactions on Wireless Communications 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Interference Management in Private 5G Networks via Interference Source Localization and Radio Environment Map Construction
IEEE Access 2025 · Paper · JCR Q2 · 中科院分区 None · IF 4.2 - KAN Based Interpretable Radio Map Prediction Framework with Symbolic Data Fusion
IEEE Transactions on Cognitive Communications and Networking 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 8.0 - Large Language Model Agents for Radio Map Generation and Wireless Network Planning
IEEE Networking Letters 2025 · Paper · JCR Q2 · 中科院分区 None · IF 3.3 - Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field With Neural Representations
IEEE Open Journal of the Communications Society 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 6.2 - Leveraging Transfer Learning for Radio Map Estimation via Mixture of Experts
IEEE Transactions on Cognitive Communications and Networking 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 8.0 - Machine learning methods comparison for maritime wireless signal strength prediction
Engineering Applications of Artificial Intelligence 2025 · Paper · JCR None · 中科院分区 None · IF None - MAE-Based Radio Map Construction for Wi-Fi Fingerprint Indoor Localization
IEEE Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 3 · IF 4.5 - Novel Radio Environment Map Construction Scheme for 3-D and Full Band for Modern Internet of Things Applications
IEEE Internet of Things Journal 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - Physics-Guided Language Model via Low-Rank Adaptation for Path Loss Prediction
IEEE Transactions on Cognitive Communications and Networking 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 8.0 - Prototyping and Experimental Results for ISAC-Based Channel Knowledge Map
IEEE Transactions on Vehicular Technology 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - Radiation Source Localization Using Radio Maps: A Computer Vision Approach
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - Radio Environment Map Reconstruction via Tensor Completion: Bayesian and Semantic Approaches
IEEE Transactions on Vehicular Technology 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - Radio map estimation using a CycleGAN-based learning framework for 6G wireless communication
Digital Communications and Networks 2025 · Paper · JCR None · 中科院分区 None · IF None - Radio Map Prediction from Aerial Images and Application to Coverage Optimization
IEEE Transactions on Wireless Communications 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Radio Map Reconstruction Based on Deep Denoising Regularization for UAV Communications
IEEE Transactions on Vehicular Technology 2025 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - RadioDiff-3D: A 3D × 3D Radio Map Dataset and Generative Diffusion-Based Benchmark for 6G Environment-Aware Communication
IEEE Transactions on Network Science and Engineering 2025 · Paper · Dataset · JCR Q1 · 中科院分区 2 · IF 7.3 ·Dataset only - RGB-D Sensor-Aided Radio Map Estimation Using Materials Classification
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - SC-GAN: A spectrum cartography with satellite Internet based on Pix2Pix generative adversarial network
China Communications 2025 · Paper · JCR None · 中科院分区 None · IF None - ST-CSFNet: Spatial-Temporal Cross Scale FNet for Radio Environment Map Forecasting
IEEE Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 3 · IF 4.5 - Time-Variant Radio Map Reconstruction With Optimized Distributed Sensors in Dynamic Spectrum Environments
IEEE Internet of Things Journal 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - TiRE-GAN: Task-Incentivized Generative Learning for Radiomap Estimation
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - Towards accurate positioning: Directionality-enhanced fingerprinting radio map
ICT Express 2025 · Paper · JCR None · 中科院分区 None · IF None - Two-Stage Radio Map Construction With Real Environments and Sparse Measurements
IEEE Wireless Communications Letters 2025 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - Unmanned Aerial Vehicle-Enabled Aerial Radio Environment Map Construction: A Multi-Stage Approach to Data Sampling and Path Planning
Drones 2025 · Paper · JCR Q2 · 中科院分区 None · IF 5.2 - Vision Transformers for Efficient Indoor Pathloss Radio Map Prediction
Electronics 2025 · Paper · JCR Q2 · 中科院分区 None · IF 2.9 - WiFi-Diffusion: Achieving Fine-Grained WiFi Radio Map Estimation with Ultra-Low Sampling Rate by Diffusion Models
IEEE Journal on Selected Areas in Communications 2025 · Paper · JCR Q1 · 中科院分区 1 · IF 16.8 - WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks
IEEE Access 2025 · Paper · JCR Q2 · 中科院分区 None · IF 4.2
2024 and Earlier 33 papers
- A Deep-Learning Approach to a Volumetric Radio Environment Map Construction for UAV-Assisted Networks
International Journal of Antennas and Propagation 2024 · Paper · JCR None · 中科院分区 None · IF None - A Deep Learning-Based Indoor Radio Estimation Method Driven by 2.4 GHz Ray-Tracing Data
IEEE Access 2023 · Paper · JCR Q2 · 中科院分区 None · IF 4.2 - A FL-Based Radio Map Reconstruction Approach for UAV-Aided Wireless Networks
Electronics 2023 · Paper · JCR Q2 · 中科院分区 None · IF 2.9 - A Graph Neural Network Based Radio Map Construction Method for Urban Environment
IEEE Communications Letters 2023 · Paper · JCR Q2 · 中科院分区 3 · IF 4.5 - A Novel Multimodal Fusion Sensing-Based Channel Prediction Method for UAV Communications
IEEE Internet of Things Journal 2024 · Paper · JCR Q1 · 中科院分区 1 · IF 8.7 - A Scalable and Generalizable Pathloss Map Prediction
IEEE Transactions on Wireless Communications 2024 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G
IEEE Communications Surveys & Tutorials 2024 · Paper · JCR Q1 · 中科院分区 None · IF 50.6 - Accurate Spectrum Map Construction for Spectrum Management Through Intelligent Frequency-Spatial Reasoning
IEEE Transactions on Communications 2023 · Paper · JCR Q1 · 中科院分区 2 · IF 8.4 - An Empirical Study on Using CNNs for Fast Radio Signal Prediction
SN Computer Science 2022 · Paper · JCR None · 中科院分区 None · IF None - An overview of propagation models based on deep learning techniques
International Journal of Electrical Engineering and Computing 2022 · Paper · JCR None · 中科院分区 None · IF None - Cell-Level RSRP Estimation With the Image-to-Image Wireless Propagation Model Based on Measured Data
IEEE Transactions on Cognitive Communications and Networking 2023 · Paper · JCR Q1 · 中科院分区 2 · IF 8.0 - Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach
IEEE Transactions on Machine Learning in Communications and Networking 2024 · Paper · JCR Q2 · 中科院分区 None · IF 4.9 - Deep-Learning-Based Radio Map Reconstruction for V2X Communications
IEEE Transactions on Vehicular Technology 2024 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - Deep Learning for Reduced Sampling Spatial 3-D REM Reconstruction
IEEE Open Journal of the Communications Society 2024 · Paper · JCR Q1 · 中科院分区 2 · IF 6.2 - DeepREM: Deep-Learning-Based Radio Environment Map Estimation From Sparse Measurements
IEEE Access 2023 · Paper · JCR Q2 · 中科院分区 None · IF 4.2 - Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping
IEEE Access 2024 · Paper · JCR Q2 · 中科院分区 None · IF 4.2 - Diffraction and Scattering Aware Radio Map and Environment Reconstruction Using Geometry Model-Assisted Deep Learning
IEEE Transactions on Wireless Communications 2024 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Fast Radio Propagation Prediction with Deep Learning
Compressed Sensing in Information Processing 2022 · Paper · JCR None · 中科院分区 None · IF None - Intelligent reconstruction algorithm of electromagnetic map based on propagation model
Journal of Communications and Networks 2024 · Paper · JCR None · 中科院分区 None · IF None - Machine-Learning-Based Path Loss Prediction for Vehicle-to-Vehicle Communication in Highway Environments
Applied Sciences 2024 · Paper · JCR Q2 · 中科院分区 None · IF 2.9 - Machine Learning-Based Radio Coverage Prediction in Urban Environments
IEEE Transactions on Network and Service Management 2020 · Paper · JCR Q1 · 中科院分区 None · IF 5.7 - Machine Learning-Based Urban Canyon Path Loss Prediction Using 28 GHz Manhattan Measurements
IEEE Transactions on Antennas and Propagation 2022 · Paper · JCR Q1 · 中科院分区 None · IF 5.9 - Machine Learning for Channel Quality Prediction: From Concept to Experimental Validation
IEEE Transactions on Wireless Communications 2024 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Multi-Stage RF Emitter Search and Geolocation With UAV: A Cognitive Learning-Based Method
IEEE Transactions on Vehicular Technology 2023 · Paper · JCR Q1 · 中科院分区 2 · IF 7.5 - Physics-Informed Neural Networks for Path Loss Estimation by Solving Electromagnetic Integral Equations
IEEE Transactions on Wireless Communications 2024 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Pseudo Ray-Tracing: Deep Learning Assisted Outdoor mm-Wave Path Loss Prediction
IEEE Wireless Communications Letters 2022 · Paper · JCR Q2 · 中科院分区 2 · IF 5.1 - Radiomap Inpainting for Restricted Areas Based on Propagation Priority and Depth Map
IEEE Transactions on Wireless Communications 2024 · Paper · JCR Q1 · 中科院分区 1 · IF 10.3 - Reconstruction of Radio Environment Map Based on Multi-Source Domain Adaptive of Graph Neural Network for Regression
Sensors 2024 · Paper · JCR Q2 · 中科院分区 None · IF 4.0 - REM-U-Net: Deep Learning Based Agile REM Prediction With Energy-Efficient Cell-Free Use Case
IEEE Open Journal of Signal Processing 2024 · Paper · JCR Q3 · 中科院分区 None · IF 2.6 - Rigorous Indoor Wireless Communication System Simulations With Deep Learning-Based Radio Propagation Models
IEEE Journal on Multiscale and Multiphysics Computational Techniques 2024 · Paper · JCR Q3 · 中科院分区 None · IF 2.1 - Super-Resolution of Wireless Channel Characteristics: A Multitask Learning Model
IEEE Transactions on Antennas and Propagation 2023 · Paper · JCR Q1 · 中科院分区 None · IF 5.9 - Temporal prediction for spectrum environment maps with moving radiation sources
IET Communications 2023 · Paper · JCR None · 中科院分区 None · IF 1.6 - Weighted Ensembles for Adaptive Active Learning
IEEE Transactions on Signal Processing 2024 · Paper · JCR Q1 · 中科院分区 1 · IF 5.5
2026 37 papers
- 3D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networks
IEEE ICC 2026 · Paper - 3D Radio Environment Map Reconstruction Under Sparse Sampling Scenario via Bayesian Neural Fields
IEEE CCAI 2026 · Paper - 3DCKM: A Large-Scale Multiband 3D Channel Knowledge Map Dataset for Low-Altitude Corridors
IEEE ICC Workshops 2026 · Paper - A Data-Friendly Deep Learning Architecture for High-Resolution Radio Map Construction
IEEE ICC Workshops 2026 · Paper - A Geometric Algebra-Informed 3DGS Framework for Wireless Channel Prediction
CVPR 2026 · Paper - A Seven-Channel Encoder-Decoder Network for Radio Map Estimation in Wireless Network Planning
IEEE EICCT 2026 · Paper - Accurate Radio Map Estimation from Sparse Measurements with U-Nets
EuCAP 2026 · Paper - BeamCKMDiff: Beam-Aware Channel Knowledge Map Construction via Diffusion Transformer
IEEE INFOCOM 2026 · Paper - Channel Gain Map Reconstruction Based on Virtual Scatterer Model
IEEE ICC 2026 · Paper - CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning
IEEE WCNC 2026 · Paper - Compressed Spectrum Cartography: Estimating Wide-Band Channel Gain Maps from Sub-Nyquist Delay Correlations
IEEE ICASSP 2026 · Paper - Constructing Knowledge Map for MIMO-OFDM Clustered Channel Estimation
IEEE ICC 2026 · Paper - CR-DDPM: A Correction-Refined Diffusion Model for Sampling-Based Radio Map Construction
ACM CAICE 2026 · Paper - Diffusion Model for Channel Knowledge Map Construction and Channel Estimation
IEEE ICTC 2026 · Paper - Efficient Clustered Channel Estimation via Channel Knowledge Map Constructed with Tensor Decomposition
IEEE ICC 2026 · Paper - Energy-Efficient Channel Knowledge Map Construction for 6G Networks Using Improved Transformer
IEEE EMC2 2026 · Paper - Flow Matching-Based Active Learning for Radio Map Construction with Low-Altitude UAVs
IEEE ICASSP 2026 · Paper - FM-RME: Foundation Model Empowered Radio Map Estimation
IEEE ICC 2026 · Paper - Knowledge-Infused Diffusion Model for Effective Radio Spectrum Map Construction
IEEE ICC Workshops 2026 · Paper - Location-Agnostic Channel Knowledge Map Construction for Dynamic Scenes
IEEE ICC 2026 · Paper - Multiantenna Channel Map Prediction with Missing Location Information using Contrastive Learning and Graph Neural Networks
IEEE ICASSP 2026 · Paper - Neural Network Parameterized Bayesian Nonstationary Radio Map Estimation With Uncertain Location
IEEE INFOCOM 2026 · Paper - oneTwin: Online Digital Network Twin via Neural Radio Radiance Field
IEEE INFOCOM 2026 · Paper - PAUnet: A Novel Position Attention-Based Model for Radio Map Construction
IEEE CNML 2026 · Paper - Physical Embedding for Radio Map Construction
IEEE ICC 2026 · Paper - Physical-Informed Radio Map Estimation: An Environment-Aware Decomposition Approach
IEEE WCNC Workshops 2026 · Paper - Physics-Informed AI-Driven Cross-Frequency Channel Knowledge Map Construction
IEEE ICC 2026 · Paper - PIMV-GNN: A Physics-Informed Multi-View Graph Neural Network for Robust Channel Knowledge Map Construction
IEEE ICC 2026 · Paper - Planar Gaussian Splatting with Bilinear Spatial Transformer for Wireless Radiance Field Reconstruction
IEEE ICC Workshops 2026 · Paper - PropSplat: Map-Free RF Field Reconstruction via 3D Gaussian Propagation Splatting
IEEE DySPAN 2026 · Paper - Radio Map Construction Using Graph Neural Network with Adaptive Sampling
IEEE CCAI 2026 · Paper - RadioAR: Autoregressive Modeling for Accurate Radio Map Estimation
ACM Web Conference Companion 2026 · Paper - RadioVIL: Anomaly-Aware Diffusion Models for Radio Map Inpainting and Zero-Shot Vehicle Localization
IEEE GLOBECOM 2026 · Paper - Ripple-Inspired In-Context Learning for Radio Map Estimation
IEEE ICC 2026 · Paper - Robust Pathloss Radio Map Prediction via Physics-Informed Transformer
IEEE DySPAN 2026 · Paper - SymNet: A Multi-Task Network for Joint Radio Map Reconstruction and Transmitter Localization
IEEE WACV 2026 · Paper - TransfoREM: Transformer-Aided 3D Radio Environment Mapping
IEEE ICC 2026 · Paper
2025 67 papers
- 3D Urban Radio Map Estimation Based on UAV Sparse Measurement Data
IEEE ICCC 2025 · Paper - A Diffusion-Based Propagation Model for Path Loss Prediction in Indoor Environments
EuCAP 2025 · Paper - A Diffusion Framework for Accurate Fine-Grained Radio Map Reconstruction
IEEE GLOBECOM 2025 · Paper - A Gaussian Splatting Approach to Continuous Radio Map Construction
IEEE INFOCOM Workshops 2025 · Paper - A Graph Neural Network-Based Radio Map Construction With Uncertainty Prediction
Asilomar Conference 2025 · Paper - A Radio Map Inpainting Construction Method for Dynamic Scenarios
IEEE VTC-Spring 2025 · Paper - Adaptive Sampling for Online UAV-Aided Radio Map Sensing
EUSIPCO 2025 · Paper - AIGC-Based Radio Map Construction for Channel Estimation in Low-Altitude Economy
IEEE/CIC ICCC Workshops 2025 · Paper - An Improved Radio Environment Map Reconstruction Method Based on Gaussian Kernel Function Weight Driven by Mixed Models
IEEE ICCC 2025 · Paper - An Incremental Learning-Based Mechanism to Deploying Radio Map Estimation Models
IEEE ECIS 2025 · Paper - Analysis of Channel Knowledge Map Updating from Information Perspective
IEEE/CIC ICCC Workshops 2025 · Paper - Bayesian-based Transmission and Channel Knowledge Map Reconstruction in LEO Satellite-terrestrial Communication
IEEE/CIC ICCC Workshops 2025 · Paper - Bayesian-Driven Graph Reasoning for Active Radio Map Construction
IEEE WCSP 2025 · Paper - Bayesian Radio Map Estimation: Fundamentals and Implementation via Diffusion Models
IEEE GLOBECOM Workshops 2025 · Paper - Beamforming-Codebook-Aware Channel Knowledge Map Construction for Multi-Antenna Systems
IEEE GLOBECOM 2025 · Paper - CFGRMDiff: A Conditional Diffusion Model for Radio Map Reconstruction
IEEE CCPQT 2025 · Paper - Channel-Aware Deep Learning for Superimposed Pilot Power Allocation and Receiver Design
IEEE VTC-Spring 2025 · Paper - Channel Knowledge Map Updating with Machine Unlearning
IEEE/CIC ICCC Workshops 2025 · Paper - CNN-Based Channel Map Estimation for Movable Antenna Systems
IEEE SPAWC 2025 · Paper - Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples
IEEE INFOCOM 2025 · Paper - Deep Learning-Based CKM Construction with Image Super-Resolution
IEEE VTC-Spring 2025 · Paper - Deep Learning for Radio Map Estimation in Wireless Communication Networks
ACM AISNS 2025 · Paper - Differentiable Channel Knowledge Map Reconstruction via Kolmogorov-Arnold Networks
IEEE WCSP 2025 · Paper - DULRTC-RME: A Deep Unrolled Low-rank Tensor Completion Network for Radio Map Estimation
IEEE ICASSP 2025 · Paper - Energy-optimized Multilayer-Perception-Kriging channel map reconstruction method
ACM CCIP 2025 · Paper - Environment-Aware AoD and AoA Prediction for Wireless Networks Utilizing Machine Learning
IEEE ICAIIC 2025 · Paper - FedRME: Importance-Aware Cooperative Radio Map Estimation Empowered by Vertical Federated Learning
IEEE ICC Workshops 2025 · Paper - FiReT: A Neural Radiance Fields Framework for Wireless Field Reconstruction and Transmitter Placement
IEEE IKT 2025 · Paper - Generative CKM construction using partially observed data with diffusion model
IEEE VTC-Spring 2025 · Paper - GenRadio: A Generative Framework for Fine-Grained 3D Radio Map Estimation
IEEE VTC-Fall 2025 · Paper - IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction
IEEE ICASSP 2025 · Paper - IRM-Net: An Enhanced Attention Networks for Indoor Radio Map Estimation
IEEE MLSP 2025 · Paper - Land Feature Aware Radio Environment Map Construction using Radio Oriented Heterogeneous Multitask Gaussian Process
IEEE GLOBECOM 2025 · Paper - Large-Scale Channel Modeling for UAV Base Station: A Radio Map Method
IEEE ICCT 2025 · Paper - Learning Blockage and Reflection Geometry for MIMO Beam Map Construction
IEEE ICC 2025 · Paper - Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling
IEEE GLOBECOM Workshops 2025 · Paper - Multi-Path Aware Radio Map Construction for 6G Environment-Aware Communication: A Helmholtz Equation-Informed Approach
IEEE/CIC ICCC 2025 · Paper - NeRF-APT: A New NeRF Framework for Wireless Channel Prediction
IEEE INFOCOM Workshops 2025 · Paper - Online Gaussian Process for Dynamic Radio Map Updating
IEEE MLSP 2025 · Paper - Optimal Distance-Constrained Path Planning for Sparse Radio Map Recovery
IEEE VTC-Fall 2025 · Paper - Physics-Informed Diffusion Model for Radio Environment Map Reconstruction from Sparse Measurements
IEEE APCC 2025 · Paper - Physics-Inspired Distributed Radio Map Estimation
IEEE ICC 2025 · Paper - PINN and GNN-based RF Map Construction for Wireless Communication Systems
FCN 2025 · Paper - Radio Environment Map Construction Method for Complex Scenarios: The Combination of Concentric Circle Algorithm and Detection Algorithm of Unknown Transmit Sources
IEEE ISCTIS 2025 · Paper - Radio Environment Map Reconstruction via Multi-Scale Feature Fusion Convolutional Autoencoder
IEEE ISEMC 2025 · Paper - Radio Map Estimation via Latent-Domain Plug-and-Play Denoisers
IEEE ICASSP 2025 · Paper - Radio Map Interpolation Using Geodesics on Statistical Manifolds
IEEE SmartIoT 2025 · Paper - Radio Map Reconstruction Based on NAS Enhanced Deep Regularization Completion for UAV Communications
IEEE VTC-Spring 2025 · Paper - RadioDiff-Turbo: Lightweight Generative Large Electromagnetic Model for Wireless Digital Twin Construction
IEEE INFOCOM Workshops 2025 · Paper - RadioVAE: Generating Probabilistic Radio Map via Variational Autoencoder with UNet
IEEE GLOBECOM 2025 · Paper - RMTransformer: Accurate Radio Map Construction and Coverage Prediction
IEEE VTC-Spring 2025 · Paper - Scalable AI-assisted optical radio environment map estimation for indoor visible-light communication systems (AI-VLCmaps)
SPIE Applications of Machine Learning 2025 · Paper - Self-Supervised Learning Informed Radio Environment Map Estimation with Few Samples
IEEE GLOBECOM 2025 · Paper - Spatial Frequency Interleaving Residual Autoencoder for Indoor Radio Map Reconstruction
IEEE ICASSP 2025 · Paper - Spatial Transformers for Radio Map Estimation
IEEE ICC 2025 · Paper - Spatially-Aware Conformalized Quantile Regression for Radio Map Uncertainty Quantification
IEEE ICSPS 2025 · Paper - Supporting Urban Low-Altitude Economy: Channel Knowledge Map Inference Based on 3D Conditional GAN
IEEE GLOBECOM Workshops 2025 · Paper - Terahertz Spatial Wireless Channel Modeling with Radio Radiance Field
IEEE GLOBECOM 2025 · Paper - The First Indoor Pathloss Radio Map Prediction Challenge
IEEE ICASSP 2025 · Paper - The Sampling-Assisted Pathloss Radio Map Prediction Competition
IEEE MLSP 2025 · Paper - Trajectory Optimization for Channel Knowledge Map Construction in Low-Altitude UAV Systems
IEEE/CIC ICCC Workshops 2025 · Paper - U-Net Based Indoor Radio Map Prediction Under Sparse Sampling
IEEE MLSP 2025 · Paper - Ultra-Grained Channel Fingerprint Construction via Conditional Generative Diffusion Models
IEEE INFOCOM Workshops 2025 · Paper - UNet-Based Deep Learning Pathloss Estimator with Boundary Condition Input
IEEE RWS 2025 · Paper - Unsupervised Radio Map Construction in Mixed LoS/NLoS Indoor Environments
IEEE GLOBECOM 2025 · Paper - ViT-RefineNet for Directional Signal Radio Map Reconstruction from Sparse Samples
ACM SIGSPATIAL 2025 · Paper - wGNN-Based Sparse Channel Angle Map Construction for MIMO Downlink Systems
IEEE ICCBD+AI 2025 · Paper
2024 and Earlier 48 papers
- A 2D Deep Residual Learning Approach for 3D Indoor Radio Map Estimation
IEEE ICC 2024 · Paper - A Bayesian Learning Approach to Wireless Outdoor Heatmap Construction Using Deep Gaussian Process
Asilomar Conference 2024 · Paper - A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics
IEEE GLOBECOM 2022 · Paper - A New Approach to Predict Radio Map via Learning-Based Spatial Loss Field
IEEE ICASSP Workshops 2024 · Paper - A Transformer-Based Network for Unifying Radio Map Estimation and Optimized Site Selection
IEEE ICASSP Workshops 2024 · Paper - Agile Radio Map Prediction Using Deep Learning
IEEE ICASSP 2023 · Paper - Channel Knowledge Map Construction with Laplacian Pyramid Reconstruction Network
IEEE WCNC 2024 · Paper - Channel Knowledge Maps Construction Based on Point Cloud Environment Information
IEEE VTC-Fall 2024 · Paper - Data-and-Semantic Dual-Driven Spectrum Map Construction for 6G Spectrum Management
IEEE GLOBECOM 2024 · Paper - Data-Driven Radio Environment Map Estimation Using Graph Neural Networks
IEEE ICC Workshops 2024 · Paper - Deep Learning-Based Path Loss Prediction for Outdoor Wireless Communication Systems
IEEE ICASSP 2023 · Paper - Deep Learning-Based Radio Estimation Using a Semi-Automatically Created Indoor Building Information
IEEE WCNC 2024 · Paper - Deep Machine Learning-Based AoD Map and AoA Map Construction for Wireless Networks
IEEE VTC-Spring 2024 · Paper - Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications
IEEE SPAWC 2022 · Paper - Distributed Radio Map Reconstruction Based on Semi-Asynchronous Federated Learning Generative Adversarial Networks
IEEE/CIC ICCC Workshops 2024 · Paper - Evaluation of Transformer Empowered Channel Prediction for 5G and Beyond Communication
IEEE VTC-Fall 2024 · Paper - Exemplar-Based Radio Map Reconstruction of Missing Areas Using Propagation Priority
IEEE GLOBECOM 2022 · Paper - Extending Machine Learning Based RF Coverage Predictions to 3D
IEEE AP-S/URSI 2022 · Paper - Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN
IEEE ICC Workshops 2024 · Paper - Fast Indoor Radio Propagation Prediction using Deep Learning
EuCAP 2024 · Paper - Federated Learning-Based Radio Environment Map Construction for Wireless Networks
IEEE GLOBECOM 2023 · Paper - FedRME: Federated Learning for Enhanced Distributed Radiomap Estimation
IEEE VTC-Fall 2024 · Paper - Fine Tuning an AI-Based Indoor Radio Propagation Model with Crowd-Sourced Data
EuCAP 2024 · Paper - IndoorRSSINet - Deep learning based 2D RSSI map prediction for indoor environments with application to wireless localization
IEEE COMSNETS 2023 · Paper - IRGAN: cGAN-based Indoor Radio Map Prediction
IEEE IFIP Networking 2023 · Paper - Learning Graph Convolutional Neural Networks to Predict Radio Environment Maps
WPMC 2022 · Paper - Locswinunet: A Neural Network for Urban Wireless Localization Using TOA and RSS Radio Maps
IEEE MLSP 2023 · Paper - LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning
IEEE ICASSP 2022 · Paper - Machine Learning-based Predictive Channel Modeling for 6G Wireless Communications Using Image Semantic Segmentation
IEEE PIMRC 2023 · Paper - Optimal Base Station Sleep Control via Multi-Agent Reinforcement Learning with Data-Driven Radio Environment Map Calibration
IEEE VTC-Spring 2024 · Paper - Prediction of Indoor Wireless Coverage from 3D Floor Plans Using Deep Convolutional Neural Networks
IEEE LCN 2021 · Paper - Propagation Graph Representation Learning and Its Implementation in Direct Path Representation
IEEE WCNC 2023 · Paper - Radio DIP - Completing Radio Maps using Deep Image Prior
IEEE GLOBECOM 2023 · Paper - Radio Map Estimation (RME) with Deep Progressive Network
IEEE MIPR 2024 · Paper - Radio Map Estimation Using a Generative Adversarial Network and Related Business Aspects
WPMC 2021 · Paper - Radio Map Estimation with Deep Dual Path Autoencoders and Skip Connection Learning
IEEE PIMRC 2023 · Paper - Radio Map Reconstruction Based on Transformer from Sparse Measurement
IEEE ICCT 2024 · Paper - RadioResUNet: Wireless Measurement by Deep Learning for Indoor Environments
WPMC 2022 · Paper - RecuGAN: A Novel Generative AI Approach for Synthesizing RF Coverage Maps
IEEE ICCCN 2024 · Paper - RM-Gen: Conditional Diffusion Model-Based Radio Map Generation for Wireless Networks
IEEE IFIP Networking 2024 · Paper - RobUNet: A Radio Map Construction Method with A Strong Generalization Capability
IEEE GLOBECOM 2024 · Paper - Spatial Prediction of Channel Signal Strength Map Using Deep Fully Convolutional Neural Network
Asilomar Conference 2022 · Paper - Three-Dimensional Radio Spectrum Map Prediction Based on Fully Connected Neural Network
IEEE ICAIT 2023 · Paper - Towards the Metaverse: Distributed Radio Map Reconstruction based on Federated Learning Generative Adversarial Networks
IEEE IWCMC 2024 · Paper - Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
IEEE GLOBECOM 2023 · Paper - Transformer based Radio Map Prediction Model for Dense Urban Environments
IEEE ISAPE 2021 · Paper - UAV-aided Joint Radio Map and 3D Environment Reconstruction using Deep Learning Approaches
IEEE ICC 2022 · Paper - UnetRay: A Prediction Method of Indoor Radio Signal Strength Distribution
IEEE ICAIT 2023 · Paper
2026 32 papers
- Active Perception for Radio Map Reconstruction in Uncharted 3D Air-Ground Environments
arXiv 2026 · Paper - BDFlow-3DRM: Height-Coherent 3D Radio Map Construction via Bi-Dynamical Flow Matching
arXiv 2026 · Paper - Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites
arXiv 2026 · Paper - Channel Knowledge Map Enabled Low-Complexity Dynamic Radio Environment Reconstruction
arXiv 2026 · Paper - Channel Map-Based Channel Estimation for Near-Field UM-MIMO with Movable Planar Arrays
arXiv 2026 · Paper - Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting
arXiv 2026 · Paper - CORF-GS: Real-Time Wireless Radiance Field Reconstruction via Coupled Optical-RF Gaussian Splatting
arXiv 2026 · Paper - DF-3DRME: A Data-Friendly Learning Framework for 3D Radio Map Estimation based on Super-Resolution Technique
arXiv 2026 · Paper · Repository ·Code forthcoming - Dynamic Channel Knowledge Map: Fundamentals, Construction, and Applications
arXiv 2026 · Paper - EA-RMENet: Path Loss Prediction in Urban Environments Using Deep Learning
arXiv 2026 · Paper - FARM: Foundational Aerial Radio Map for Intelligent Low-Altitude Networking
arXiv 2026 · Paper - GSBF: Gaussian Splatting for Environment-Aware Beamforming
arXiv 2026 · Paper - OctCGS: Octree-Contextual Gaussian Splatting with Explicit Multi-Order Propagation Modeling for Channel Knowledge Map Construction
arXiv 2026 · Paper - P-WRFGS: Pruning 3D Gaussians for Efficient Wireless Radiance Field Construction
arXiv 2026 · Paper - PALM: Single-Station Super-Resolved Small-Scale Radio-Map Localization by Path-Atom Matching
arXiv 2026 · Paper - Physics-Aware Query-Conditioned Graph Attention Networks for Radio Map Estimation
arXiv 2026 · Paper - Physics-Unrolled Neural Operator for Wireless Field Modeling
arXiv 2026 · Paper - PILOT: One Physics-Integrated Generation Framework to Unify 2D and 3D Radio Map Construction
arXiv 2026 · Paper · Repository ·Repository placeholder - Point2Radio: A Foundation Model for Cross-Scene Radio Fields from Material-Aware Point Clouds
arXiv 2026 · Paper · Repository ·Code forthcoming - QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC Networks
arXiv 2026 · Paper - Radio-Frequency Inverse Rendering for Wireless Environment Modeling
arXiv 2026 · Paper - Radio Map Updating from Streaming Spectrum Measurements via Memory-Based Online Gaussian Processes
arXiv 2026 · Paper - RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation
arXiv 2026 · Paper · Repository ·Code forthcoming - RadioDiff-v2: Generative Angular Radio Maps for Multi-Beam Selection and Localization
arXiv 2026 · Paper · Repository ·Code forthcoming - RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling
arXiv 2026 · Paper · Repository ·Empty repository - RMPrior: Bridging Propagation Priors and Diffusion Refinement for Efficient Radio Map Construction
arXiv 2026 · Paper - RxGS: Receiver-Generalizable 3D Gaussian Splatting for Radio-Frequency Data Synthesis
arXiv 2026 · Paper - Sparse Gain Radio Map Reconstruction With Geometry Priors and Uncertainty-Guided Measurement Selection
arXiv 2026 · Paper - TGPP: Trajectory-Guided Plug-and-Play Priors for Sparse Radio Map Reconstruction
arXiv 2026 · Paper - Theoretical Analysis of Diffusion Models for Radio Map Estimation with Ultra-Low Sampling Rates
arXiv 2026 · Paper - Transmitter-Agnostic Radio Map Reconstruction via Adversarial Cooperative Inference
SSRN 2026 · Paper - Voxel-CKM: Voxelized Radio Frequency Radiance Fields for Fast and Few-Shot CKM Construction
arXiv 2026 · Paper
2025 11 papers
- BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks
arXiv 2025 · Paper - Diffusion2: Turning 3D Environments into Radio Frequency Heatmaps
arXiv 2025 · Paper - GenMetaLoc: Learning to Learn Environment-Aware Fingerprint Generation for Sample Efficient Wireless Localization
arXiv 2025 · Paper - GSpaRC: Gaussian Splatting for Real-Time Reconstruction of RF Channels
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 - Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction
arXiv 2025 · Paper - RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation
arXiv 2025 · Paper - RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 0.01% Spatial Sampling
arXiv 2025 · Paper · Repository ·Repository placeholder - UAV-enabled Adaptive Radio Sampling for High-quality Radio Environment Map Construction in Unknown Environments
TechRxiv 2025 · Paper - Wideband RF Radiance Field Modeling Using Frequency-Embedded 3D Gaussian Splatting
arXiv 2025 · Paper
2024 and Earlier 5 papers
- 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 - Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
arXiv 2024 · Paper - Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing
arXiv 2024 · Paper - White Paper on Radio Channel Modeling and Prediction to Support Future Environment-aware Wireless Communication Systems
arXiv 2023 · Paper
Contributions are welcome. Please include the paper title, venue, year, paper URL, and official code repository when available.