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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 32 times according to Google Scholar. CitationMap has resolved 30 citing papers from institutions across 9 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 · 13Hong 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)
  • 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)
  • Chinese University of Hong Kong (Shenzhen) (1)

Papers citing this work (30 resolved)

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

    · Nan Cheng, Xiucheng Wang, Yuhao Pan

  2. Integrated sensing and communication: Towards multifunctional perceptive network

    · Jie Xu, Shuguang Cui, Zhiyong Feng, Yuanhao Cui +6 more

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

    · Di Wu, Zijian 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, Yunhao Liu, Guoxuan Chi, Chenshu Wu +4 more

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

    · Yuchen Liu, Xuanhao Luo, Zhiyuan Peng, Zhouyu Li +1 more

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

    · Nan Cheng, Xiucheng Wang, Xuemin Shen, Honggang Jia +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

    · Junting Chen, Shuguang Cui, Wangqian Chen

  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

    · Ruiyang Duan, Weijie Yuan, Shijian Gao, Wenlihan Lu +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

    · Xiaoli Xu, Hongyang Du, Shen Fu, Yong Zeng +1 more

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

    · Junting Chen, Hao Sun, Xianghao Yu

  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

    · Junting Chen, Hao Sun, 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

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