mlsanityData to 14 Oct 2026

Dataset of Pathloss and ToA Radio Maps With Localization Application

arXiv 2212.11777 ↗First posted 18 Nov 2022cs.NI cs.LG eess.SPcited by 27

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Abstract (arXiv)

In this article, we present a collection of radio map datasets in dense urban setting, which we generated and made publicly available. The datasets include simulated pathloss/received signal strength (RSS) and time of arrival (ToA) radio maps over a large collection of realistic dense urban setting in real city maps. The two main applications of the presented dataset are 1) learning methods that predict the pathloss from input city maps (namely, deep learning-based simulations), and, 2) wireless localization. The fact that the RSS and ToA maps are computed by the same simulations over the same city maps allows for a fair comparison of the RSS and ToA-based localization methods.

Key facts. Cited by 27 papers in the map (data through 14 Oct 2026). Builds on 4 of its 26 references that are in the map. First posted on arXiv 18 Nov 2022.

Builds on

4 of 26 references.

References · 4

  1. 2019RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networkscited by 127
  2. 2021RadioNet: Transformer based Radio Map Prediction Model For Dense Urban Environmentscited by 15
  3. 2021Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approachcited by 12
  4. 2022LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learningcited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 2; 2024: 4; 2025: 10; 2026: 10.

27 papers.

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  1. 2023A Scalable and Generalizable Pathloss Map Predictioncited by 18
  2. 2024Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Mapscited by 14
  3. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 14
  4. 2023The First Pathloss Radio Map Prediction Challengecited by 13
  5. 2024Radio Map Prediction from Aerial Images and Application to Coverage Optimizationcited by 10
  6. 2024Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experimentscited by 7
  7. 2025CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priorscited by 6
  8. 2025Radio Map Estimation via Latent Domain Plug-and-Play Denoisingcited by 3
  9. 2024Deep Learning-Based CKM Construction with Image Super-Resolutioncited by 2
  10. 2025RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1textpertenthousand Spatial Samplingcited by 2
  11. 2025Bayesian-Driven Graph Reasoning for Active Radio Map Constructioncited by 1
  12. 2025RadioFlow: Efficient Radio Map Construction Framework with Flow Matchingcited by 1
15 more
  1. 2025Channel Knowledge Map Construction via Physics-Inspired Diffusion Model Without Prior Observationscited by 1
  2. 2022On the Effective Usage of Priors in RSS-based Localizationcited by 0
  3. 2025RadioKMoE: Knowledge-Guided Radiomap Estimation with Kolmogorov-Arnold Networks and Mixture-of-Expertscited by 0
  4. 2025RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Predictioncited by 0
  5. 2025RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communicationscited by 0
  6. 2026The Vienna 4G/5G Drive-Test Datasetcited by 0
  7. 2026Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimationcited by 0
  8. 2026Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approachescited by 0
  9. 2026Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigmcited by 0
  10. 2026RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modelingcited by 0
  11. 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Surveycited by 0
  12. 2026Multi-Modal Conditioned High-Resolution Transformer for Urban Electromagnetic Field Map Prediction Download PDFcited by 0
  13. 2026EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learningcited by 0
  14. 2026Physics-informed VAE-EVT for Tail Aware Radio Map Predictioncited by 0
  15. 2026Physics-Unrolled Neural Operator for Wireless Field Modelingcited by 0