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Denoising diffusion probabilistic model for radio map estimation in generative wireless networks

Denoising diffusion probabilistic model for radio map estimation in generative wireless networks (2025) has been cited 43 times according to Google Scholar. CitationMap has resolved 38 citing papers from institutions across 11 countries.

IEEE Transactions on Cognitive Communications and Networking 11 (2), 751-763, 20252025View paper

Authors: Yuchen Liu (North Carolina State University), Mingzhe Chen (University of Miami), Xuanhao Luo (North Carolina State University), Zhizhen Li (North Carolina State University), Zhiyuan Peng (North Carolina State University)

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Where this paper is cited

China · 17Hong Kong · 4United States · 4United Kingdom · 2Canada · 1Spain · 1Italy · 1Netherlands · 1

Top citing institutions

  • The Chinese University of Hong Kong, Shenzhen (4)
  • Southeast University (3)
  • City University of Hong Kong (3)
  • Xidian University (2)
  • Southern University of Science and Technology (2)
  • University of Hong Kong (2)
  • Nanjing University of Aeronautics and Astronautics (2)
  • Hong Kong University of Science and Technology (1)
  • Beijing University of Posts and Telecommunications (1)
  • China Internet Network Information Center (1)
  • University College London (1)
  • Tsinghua University (1)

Papers citing this work (38 resolved)

  1. A tutorial on learning-based radio map construction: Data, paradigms, and physics-awarenes

    · Xiucheng Wang, Yuhao Pan, Nan Cheng

  2. Integrated sensing and communication: Towards multifunctional perceptive network

    · Yuanhao Cui, Jiali Nie, Fan Liu, Weijie Yuan +6 more

  3. CKMImageNet: A Dataset for AI-Based Channel Knowledge Map Towards Environment-Aware Communication and Sensing

    · Zijian Wu, Di Wu, Shen Fu, Yuelong Qiu +1 more

  4. Diffusion models for future networks and communications: A comprehensive survey

  5. Generative AI Meets Wireless Sensing: Towards Wireless Foundation Model

    · Zheng Yang, Guoxuan Chi, Chenshu Wu, Hanyu Liu +4 more

  6. Rank-based modeling for universal packets compression in multi-modal communications

    · Xuanhao Luo, Zhiyuan Peng, Zhouyu Li, Ruozhou Yu +1 more

  7. RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNet

    · Honggang Jia, Nan Cheng, Xiucheng Wang, Conghao Zhou +2 more

  8. Generative artificial intelligence models for emerging communication systems: Fundamentals and challenges

  9. RadioRS: A Sampling-Free Low-Altitude Wireless Networks Leveraging Radio Maps and Rate-Splitting

  10. Covert Communications: A Generative Spectrum Map Paradigm

  11. Learning Ray-Tracing for Radio Propagation via Cross-Attention-Based Diffusion Models

  12. Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question

    · Stefanos Bakirtzis, Paul Almasan, Jos'e Su'arez-Varela, Gabriel O. Ferreira +4 more

  13. Bridging Data Gaps: Enhancing Wireless Localization with Physics-Informed Data Augmentation

    · Md Mumtahin Habib Ullah Mazumder, Frost Mitchell, Aditya Bhaskara, Sneha Kumar Kasera +1 more

  14. Semantic Communication for Low-Altitude Economy: Harnessing the Power of Generative AI and Edge Intelligence

  15. ARCS: Adversarial RF Map Categorization and Synthesis Through Unsupervised Feature Extraction

  16. Beamforming Feedback-Driven Wireless Positioning: A Transferable Vision Transformer Approach

  17. Invertible Diffusion for Low-Memory Channel Gain Map Construction in Wireless Communication Networks

    · Ruifeng Gao, Sen Li, Jue Wang, Qiuming Zhu +1 more

  18. Generative MIMO Beam Map Construction for Location Recovery and Beam Tracking

    · Wangqian Chen, Junting Chen, Shuguang Cui

  19. Hypergraph Attention Network for Spatio-Temporal Interference Modeling in Cellular Networks

  20. Transfer to Sky: Unveil Low-Altitude Route-Level Radio Maps via Ground Crowdsourced Data

    · Wenlihan Lu, Huacong Chen, Ruiyang Duan, Weijie Yuan +1 more

  21. Bayesian Radio Map Estimation: Fundamentals and Implementation via Diffusion Models

    · Tien Ngoc Ha, Daniel Romero

  22. Channel Knowledge Map Construction via Guided Flow Matching

    · Ziyu Huang, Yong Zeng, Shen Fu, Xiaoli Xu +1 more

  23. Structure-Aware Near-Field Radio Map Recovery via RBF-Assisted Matrix Completion

    · Hao Sun, Xianghao Yu, Junting Chen

  24. Diffusion model-based rssi fingerprint generation for indoor localization in dynamic environments

  25. MIMO Beam Map Reconstruction via Toeplitz-Structured Matrix-Vector Tensor Decomposition

    · Hao Sun, Junting Chen, Xianghao Yu

  26. A Lightweight Coordinate-Conditioned Diffusion Approach for 6G C-V2X Radio Environment Maps

    · Liu Cao, Zhaoyu Liu, Dongyu Wei, Yuan Yang +2 more

  27. RadioKMoE: Knowledge-Guided Radiomap Estimation with Kolmogorov-Arnold Networks and Mixture-of-Experts

    · Fupei Guo, Kerry Pan, Songyang Zhang, Yue Wang +1 more

  28. Generative artificial intelligence assisted radio spectrum cognition: advances and challenges

    · Zhiyuan LIU, Lingyang SONG, Qingyu LIU, Shuhang ZHANG +1 more

  29. Towards high-fidelity radio coverage maps: calibration using real-world measurements in Sionna RT

  30. CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision

  31. Generative AI for Wireless Communication and Sensing: Toward Unified Foundation Models

  32. A Perception vs. Distortion Perspective on Score-Based Generative Channel Estimation

    · Marco Skocaj, L. Eller, M. Boban

  33. Active Perception for Radio Map Reconstruction in Uncharted 3D Air-Ground Environments

    · Wencheng Lu, Miaowen Wen, Shijian Gao

  34. Mitigating High-Frequency Component Degradation in Radio Map Generation: A Novel VAE-Enhanced Latent Diffusion Model

    · Zhanqi Jin, Nan Li, Tingting Yang, Xiaoxia Huang +1 more

  35. REM-Diff: Conditional Diffusion for UAV-Based Radio Map Construction in Urban Environments

    · J F Li, Qihui Wu, Xu Haikuo, Gao Jieyu +2 more

  36. Theoretical Analysis of Diffusion Models for Radio Map Estimation with Ultra-low Sampling Rates

  37. ST-CDF: A Generative AI Framework for Physics-Consistent Imputation and Simulation in Precision Agriculture

    · Chenkai Guo, Hui Fan, Shenghua Dong, Minhua Yin +6 more

  38. QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC Networks

    · Zhihan Zeng, Kaihe Wang, Zhongpei Zhang, Chongwen Huang

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