mlsanityData to 14 Oct 2026

Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography

arXiv 2202.03269 ↗First posted 1 Feb 2022eess.SPcited by 31

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Abstract (arXiv)

Radio maps characterize quantities of interest in radio communication environments, such as the received signal strength and channel attenuation, at every point of a geographical region. Radio map estimation typically entails interpolative inference based on spatially distributed measurements. In this tutorial article, after presenting some representative applications of radio maps, the most prominent radio map estimation methods are discussed. Starting from simple regression, the exposition gradually delves into more sophisticated algorithms, eventually touching upon state-of-the-art techniques. To gain insight into this versatile toolkit, illustrative toy examples will also be presented.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Feb 2022.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 5; 2025: 13; 2026: 9.

31 papers.

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  1. 2023A Scalable and Generalizable Pathloss Map Predictioncited by 18
  2. 2024RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networkscited by 17
  3. 2024Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Mapscited by 14
  4. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 14
  5. 2024Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challengescited by 8
  6. 2024Fast and Accurate Cooperative Radio Map Estimation Enabled by GANcited by 7
  7. 2024Spatial Transformers for Radio Map Estimationcited by 5
  8. 2025RMTransformer: Accurate Radio Map Construction and Coverage Predictioncited by 5
  9. 2025WiFi-Diffusion: Achieving Fine-Grained WiFi Radio Map Estimation With Ultra-Low Sampling Rate by Diffusion Modelscited by 4
  10. 2025Radio Map Estimation via Latent Domain Plug-and-Play Denoisingcited by 3
  11. 2025RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1textpertenthousand Spatial Samplingcited by 2
  12. 2025RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimationcited by 2
19 more
  1. 2023ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learningcited by 1
  2. 2023Radio Map Estimation: Empirical Validation and Analysiscited by 1
  3. 2025Bayesian-Driven Graph Reasoning for Active Radio Map Constructioncited by 1
  4. 2025RadioFlow: Efficient Radio Map Construction Framework with Flow Matchingcited by 1
  5. 20253D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networkscited by 1
  6. 2025Channel Knowledge Map Construction via Physics-Inspired Diffusion Model Without Prior Observationscited by 1
  7. 2025Blind Radio Mapping via Spatially Regularized Bayesian Trajectory Inferencecited by 1
  8. 2026FM-RME: Foundation Model Empowered Radio Map Estimationcited by 1
  9. 2026Accelerating Regularized Attention Kernel Regression for Spectrum Cartographycited by 1
  10. 2023RADIANCE: Radio-Frequency Adversarial Deep-learning Inference for Automated Network Coverage Estimationcited by 0
  11. 2025RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Predictioncited by 0
  12. 2025ReVeal-MT: A Physics-Informed Neural Network for Multi-Transmitter Radio Environment Mappingcited by 0
  13. 2026RadioGen3D: 3D Radio Map Generation via Adversarial Learning on Large-Scale Synthetic Datacited by 0
  14. 2026Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approachescited by 0
  15. 2026Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimatorscited by 0
  16. 2026RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modelingcited by 0
  17. 2026Diffusion Models for Radio Map Estimation: Theoretical Performance Analysis and Sampling Rate Guidelinecited by 0
  18. 2026RadioTrace: Transmitter-Aware Diffusion for Radio Map Estimation without Deployment-Time Fine-Tuningcited by 0
  19. 2026WONDER: A Radio World Model-based Negotiation Framework for Multi-Agent UAV Coverage Optimizationcited by 0