Radio Propagation Modeling

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Overview

Radio propagation modeling studies how signals reflect, diffract, scatter, and weaken as they travel through buildings, streets, and other environments. Methods range from empirical path-loss models and computationally intensive ray tracing to learned radio maps, neural channel models, and digital twins that combine geometry with measurements. Current work uses physics-informed networks, differentiable simulation, and generative models to improve prediction while reducing computation and measurement needs. A central challenge is generalizing across environments and hardware configurations while keeping simulated predictions faithful to real-world measurements and downstream network performance.

Latest papers

CardsList

61 papers4 papers in the last four weeks, down 43% on the four weeks before. 0.0% of all new papers.

  1. JEPA-Inspired Latent Field Prediction for Sparse-Pilot MIMO-OFDM Channel Reconstruction

    Oct 27, 2026Yuzhi Yang, Brahim Mefgouda, Hang Zou +5Channel EstimationChannel State Prediction

    Research Institute for Digital Future, Khalifa University, 127788 Abu Dhabi, UAE · School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan · the Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China

  2. HankelKANet: Lightweight Path Loss Estimation via Physics-Inspired Hankel Convolution

    Oct 14, 2026Yue Ruan, Xiaoxiao Cheng, Yunan Zhu +2Radio Propagation ModelingPhysics-Informed ML

    School of Computer Science and Technology, Anhui University of Technology, Maanshan 243002, China · Department of Electrical and Electronic Engineering, Imperial College London, SW7 2AZ London, U.K.

  3. Scaling Cheap Synthetic Pretraining Improves Indoor Radio-Map Prediction

    Oct 13, 2026Khoren Petrosyan, Artashes Mkrtchyan, Rafayel Mkrtchyan +2Radio Propagation ModelingSynthetic Data Pretraining

    YerevaNN, Armenia · Yerevan State University, Armenia · Institute of Informatics and Telematics, National Research Council, Italy

  4. RFWeave: Learning Wireless Propagation Across Scenes and Transceiver Configurations

    Oct 12, 2026Shurui Xu, Xiao Ye, Yijie Bian +5Radio Propagation ModelingWireless Communications

    Southeast University · The Hong Kong University of Science and Technology

  5. LiLib: Lifelong Air-to-Ground Path-Loss Prediction on UAVs via a Drift-Triggered Model Library

    Oct 5, 2026Minh TranConcept DriftWireless Communications

    Hanoi University of Science and Technology (HUST), Hanoi, Vietnam

  6. TRACE: Learning to Self-Calibrate Wireless Digital Twins from ISAC Measurements

    Sep 26, 2026Saad Masrur, Saeed R. Khosravirad, Ismail GuvencRadio Propagation ModelingDigital Twins

    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC · Radio Systems Research, Nokia Bell Labs, Murray Hill, NJ, USA

  7. Radiomap Blind Prediction under Incomplete Observation: Error Characterization and Correctable Propagation-Prior Learning

    Sep 26, 2026Xiaojie Li, Yu Han, Han Fang +4Radio Propagation ModelingLearning with Missing Data

    School of Information Science and Engineering, Southeast University, Nanjing 210096, China · National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China · School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China +3

  8. MAPLE-RF: Efficient Probabilistic RF Source Localization in Partially Explored Environments

    Sep 17, 2026Haozhe Lei, Sundeep RanganWireless LocalizationRadio Propagation Modeling

    NYU WIRELESS, Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA

  9. Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations

    Sep 10, 2026Xiaojie Li, Yu Han, Han Fang +3Residual LearningCross-Domain Generalization

    School of Information Science and Engineering, Southeast University, Nanjing 210096, China · National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China · School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China +2

  10. KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling

    Sep 7, 2026Maximiliano Wardle, A. Ryo Koblitz3D ReconstructionRadio Propagation Modeling

    Nokia Bell Labs · University of York

  11. Tri-Band Channel Measurement-Enabled Multi-Layer Digital Twin for Terahertz Wireless Data Centers

    Sep 1, 2026Mingjie Zhu, Ziming Yu, Guangjian Wang +1Wireless CommunicationsRadio Propagation Modeling

    Terahertz Wireless Communications (TWC) Interdisciplinary Research Center, Shanghai Jiao Tong University, Shanghai 200240, China · Huawei Technologies Company Ltd., Chengdu 611731, China · Terahertz Wireless Communications (TWC) Interdisciplinary Research Center, and Cooperative Medianet Innovation Center (CMIC), School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

  12. BeamRMX: Radiation-Pattern-Driven Learning for Generalizable Beam Radio Map Prediction and Beam Management

    Sep 1, 2026Yue Zhang, Xiucheng Wang, Wenshuo Chen +16G NetworksRadio Propagation Modeling

    State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi’an 710071, China · The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511453, China

  13. WiNeRF: Measurement Constrained Radiance Fields for Actionable Wireless Channel Modeling

    Aug 24, 2026Saif Ur Rahman, Rafid Umayer Murshed, Anton Dmitriev +3Wireless CommunicationsRadio Propagation Modeling

    University of Illinois Urbana-Champaign · Intel

  14. Physics-Unrolled Neural Operator for Wireless Field Modeling

    Aug 19, 2026Rafid Umayer Murshed, Saif Ur Rahman, Mingyue Tang +1Radio Propagation ModelingPhysics-Informed Neural Operators

    Department of Computer Science University of Illinois Urbana-Champaign Urbana, IL 61801, USA

  15. RadioVIL: Anomaly-Aware Diffusion Models for Radio Map Inpainting and Zero-Shot Vehicle Localization

    Aug 17, 2026Ruixin Zhao, Xiucheng Wang, Qiming Zhang +3Wireless LocalizationImage Inpainting

    School of Computer Science and Technology, Xidian University, Xi’an, 710071, China · State Key Laboratory of ISN and School of Telecommunications Engineering, Xidian University, Xi’an, 710071, China · School of Artificial Intelligence, Xidian University, Xi’an, 710071, China

  16. Physics-informed VAE-EVT for Tail Aware Radio Map Prediction

    Aug 15, 2026Amanda Sheron Gamage, Niloofar Mehrnia, James GrossRadio Propagation ModelingWireless Communications

    Department of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden

  17. A Systematic Sample Size Analysis of ML-Based Path Loss Prediction for LPWAN

    Aug 11, 2026Robert Bitterling, Christian Nettersheim, Jörn Hees +1Wireless CommunicationsRadio Propagation Modeling

    Fraunhofer FKIE · Hochschule Bonn-Rhein-Sieg Cyber Analysis & Defense Department of Computer Science Wachtberg, Germany

  18. ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation

    Aug 10, 2026Kangjun Liu, Xiying Pan, Shuhang Zhang +3Wireless CommunicationsGenerative Modeling

    Pengcheng Laboratory, China · South China University of Technology and the Pengcheng Laboratory, China · Peking University, China +2

  19. GSBF: Gaussian Splatting for Environment-Aware Beamforming

    Aug 6, 2026Yijie Bian, Wei Guo, Zixin Wang +33D Gaussian SplattingWireless Communications

    Dept. of ECE, The Hong Kong University of Science and Technology, Hong Kong, China

  20. MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation

    Aug 5, 2026Blessed Guda, Kayley Sze, Carlee Joe-WongWireless Foundation ModelsWireless Localization

    Carnegie Mellon University Pittsburgh, USA

  21. Generative Models for Modeling and Synthesizing MIMO Channels in Adverse Weather Conditions

    Jul 31, 2026Vignesh Nandakumar, Faraz Barati, Brian L. EvansSynthetic Data GenerationWireless Communications

  22. Point2Radio: A Foundation Model for Cross-Scene Radio Fields from Material-Aware Point Clouds

    Jul 31, 2026Chaozheng Wen, Chenghong Bian, Hongze Chen +1Wireless Foundation ModelsWireless Communications

    Hong Kong University of Science and Technology

  23. mmRadarTwin: A Measurement-Calibrated Signal-Level Digital Twin Platform for Indoor mmWave Radar

    Jul 30, 2026Jianyi Zhou, Chenghao Zhang, Yanli Li +1Millimeter-Wave RadarmmWave Radar Sensing

    The University of Sydney · Sydney, NSW, Australia

  24. SymNet: A Multi-Task Network for Joint Radio Map Reconstruction and Transmitter Localization

    Jul 30, 2026Lyuzhou Ye, Thanh Dat Le, Yan HuangMulti-Task LearningWireless Communications

    University of North Texas 1155 Union Circle Denton, Texas

  25. CORF-GS: Real-Time Wireless Radiance Field Reconstruction via Coupled Optical-RF Gaussian Splatting

    Jul 28, 2026Jinya Zhang, Jiajia Guo, Chao-Kai Wen +13D Gaussian SplattingStreaming 3D Reconstruction

  26. Low-Altitude Channel Multipath Prediction via Panoramic Perception and Vision-Language Model

    Jul 24, 2026Zihang Zeng, Shu Sun, Meixia Tao +3Wireless CommunicationsRadio Propagation Modeling

    School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

  27. EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning

    Jul 17, 2026Jonathan O'Shea, Conor BrennanRadio Propagation ModelingDense Prediction

    DCU School of Electronic Engineering

  28. HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing

    Jul 17, 2026Weitao Xiong, Tianyu Liu, Peng Li +4Synthetic Data GenerationMillimeter-Wave Radar

    1Xiamen University Malaysia · 2The Hong Kong University of Science and Technology · University of North Carolina at Charlotte

  29. CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models

    Jul 16, 2026Yuan Gao, Wenjun Yu, Jun Jiang +3Wireless Foundation ModelsBenchmark Design

    School of Communication and Information Engineering, Shanghai University, Shanghai, China · Xi’an Jiaotong-Liverpool University, Suzhou, China

  30. Physics-Aware Conditional SetGAN for Spatially Consistent Multi-User TR 38.901 Channel Generation

    Jul 13, 2026Mauro Gonzalo Tarazona-Levano, David Lopez-Perez, Nicola Piovesan +1Wireless CommunicationsRadio Propagation Modeling

    Institute of Telecommunications and Multimedia Applications (iTEAM), Universitat Politècnica de València (UPV), Spain · Beihang Valencia Polytechnic Institute (BVPI), China · Huawei Technologies, France