RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Xiucheng, Zheng, Peilin, Jia, Honggang, Cheng, Nan, Sun, Ruijin, Zhou, Conghao, Shen, Xuemin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNet
por: Jia, Honggang, et al.
Publicado: (2025)
por: Jia, Honggang, et al.
Publicado: (2025)
RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction
por: Wang, Xiucheng, et al.
Publicado: (2025)
por: Wang, Xiucheng, et al.
Publicado: (2025)
RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
por: Wang, Xiucheng, et al.
Publicado: (2025)
por: Wang, Xiucheng, et al.
Publicado: (2025)
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
por: Wang, Xiucheng, et al.
Publicado: (2024)
por: Wang, Xiucheng, et al.
Publicado: (2024)
A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
por: Wang, Xiucheng, et al.
Publicado: (2026)
por: Wang, Xiucheng, et al.
Publicado: (2026)
RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction
por: Wang, Xiucheng, et al.
Publicado: (2026)
por: Wang, Xiucheng, et al.
Publicado: (2026)
RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation
por: Wang, Xiucheng, et al.
Publicado: (2025)
por: Wang, Xiucheng, et al.
Publicado: (2025)
Path-Level Radio Map-Aided Fast and Robust Channel Estimation for Pilot-Starved MIMO-OFDM Systems
por: Wang, Xiucheng, et al.
Publicado: (2026)
por: Wang, Xiucheng, et al.
Publicado: (2026)
iRadioDiff: Physics-Informed Diffusion Model for Indoor Radio Map Construction and Localization
por: Wang, Xiucheng, et al.
Publicado: (2025)
por: Wang, Xiucheng, et al.
Publicado: (2025)
RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication
por: Wang, Xiucheng, et al.
Publicado: (2025)
por: Wang, Xiucheng, et al.
Publicado: (2025)
Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites
por: Wang, Xiucheng, et al.
Publicado: (2026)
por: Wang, Xiucheng, et al.
Publicado: (2026)
RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Prediction
por: Jia, Honggang, et al.
Publicado: (2025)
por: Jia, Honggang, et al.
Publicado: (2025)
Erasing Noise in Signal Detection with Diffusion Model: From Theory to Application
por: Wang, Xiucheng, et al.
Publicado: (2025)
por: Wang, Xiucheng, et al.
Publicado: (2025)
Map2APS: A Physically Grounded Benchmark for Direct Angle Power Spectrum Prediction from Urban Geometry
por: Huang, Junxi, et al.
Publicado: (2026)
por: Huang, Junxi, et al.
Publicado: (2026)
RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communications
por: Zhang, Qiming, et al.
Publicado: (2025)
por: Zhang, Qiming, et al.
Publicado: (2025)
Radio Map Estimation via Latent Domain Plug-and-Play Denoising
por: Xu, Le, et al.
Publicado: (2025)
por: Xu, Le, et al.
Publicado: (2025)
RMTransformer: Accurate Radio Map Construction and Coverage Prediction
por: Li, Yuxuan, et al.
Publicado: (2025)
por: Li, Yuxuan, et al.
Publicado: (2025)
UrbanMIMOMap: A Ray-Traced MIMO CSI Dataset with Precoding-Aware Maps and Benchmarks
por: Jia, Honggang, et al.
Publicado: (2025)
por: Jia, Honggang, et al.
Publicado: (2025)
Energy-modified Leverage Sampling for Radio Map Construction via Matrix Completion
por: Sun, Hao, et al.
Publicado: (2024)
por: Sun, Hao, et al.
Publicado: (2024)
Constructing Indoor Region-based Radio Map without Location Labels
por: Xing, Zheng, et al.
Publicado: (2023)
por: Xing, Zheng, et al.
Publicado: (2023)
Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application
por: Wang, Xiucheng, et al.
Publicado: (2025)
por: Wang, Xiucheng, et al.
Publicado: (2025)
Flow Matching-Based Active Learning for Radio Map Construction with Low-Altitude UAVs
por: Sun, Hao, et al.
Publicado: (2025)
por: Sun, Hao, et al.
Publicado: (2025)
RadioFlow: Efficient Radio Map Construction Framework with Flow Matching
por: Jia, Haozhe, et al.
Publicado: (2025)
por: Jia, Haozhe, et al.
Publicado: (2025)
Two-Stage Radio Map Construction with Real Environments and Sparse Measurements
por: Wang, Yifan, et al.
Publicado: (2024)
por: Wang, Yifan, et al.
Publicado: (2024)
Neural Electromagnetic Fields for High-Resolution Material Parameter Reconstruction
por: Chen, Zhe, et al.
Publicado: (2026)
por: Chen, Zhe, et al.
Publicado: (2026)
Bayesian-Driven Graph Reasoning for Active Radio Map Construction
por: Lu, Wenlihan, et al.
Publicado: (2025)
por: Lu, Wenlihan, et al.
Publicado: (2025)
RadioPiT: Radio Map Generation with Pixel Transformer Driven by Ultra-Sparse Real-World Data
por: Sun, Zeyao, et al.
Publicado: (2025)
por: Sun, Zeyao, et al.
Publicado: (2025)
Noise-Robust Radio Frequency Fingerprint Identification Using Denoise Diffusion Model
por: Yin, Guolin, et al.
Publicado: (2025)
por: Yin, Guolin, et al.
Publicado: (2025)
Multiple Source Localization via Local Radio Map Construction in Urban Environments
por: Zhang, Qilu, et al.
Publicado: (2025)
por: Zhang, Qilu, et al.
Publicado: (2025)
Geometry-Aligned Differential Privacy for Location-Safe Federated Radio Map Construction
por: Tian, Jijia, et al.
Publicado: (2025)
por: Tian, Jijia, et al.
Publicado: (2025)
Physics-Aware Tensor Reconstruction for Radio Maps in Pixel-Based Fluid Antenna Systems
por: Jia, Mu, et al.
Publicado: (2026)
por: Jia, Mu, et al.
Publicado: (2026)
Bayesian Radio Map Estimation: Fundamentals and Implementation via Diffusion Models
por: Ha, Tien Ngoc, et al.
Publicado: (2025)
por: Ha, Tien Ngoc, et al.
Publicado: (2025)
TGPP: Trajectory-Guided Plug-and-Play Priors for Sparse Radio Map Reconstruction
por: Zhang, Jiawen, et al.
Publicado: (2026)
por: Zhang, Jiawen, et al.
Publicado: (2026)
Advancing THz Radio Map Construction and Obstacle Sensing: An Integrated Generative Framework in ISAC
por: Hu, Tianyu, et al.
Publicado: (2025)
por: Hu, Tianyu, et al.
Publicado: (2025)
CGFormer: A Cross-Attention Based Grid-Free Transformer for Radio Map Estimation
por: Nan, Haihan, et al.
Publicado: (2026)
por: Nan, Haihan, et al.
Publicado: (2026)
FARM: Foundational Aerial Radio Map for Intelligent Low-Altitude Networking
por: Gao, Shijian, et al.
Publicado: (2026)
por: Gao, Shijian, et al.
Publicado: (2026)
RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation
por: Chen, Taiqin, et al.
Publicado: (2025)
por: Chen, Taiqin, et al.
Publicado: (2025)
A Radio Map Approach for Reduced Pilot CSI Tracking in Massive MIMO Networks
por: Zheng, Yuanshuai, et al.
Publicado: (2024)
por: Zheng, Yuanshuai, et al.
Publicado: (2024)
PILOT: One Physics-Integrated Generation Framework to Unify 2D and 3D Radio Map Construction
por: Huang, Weiming, et al.
Publicado: (2026)
por: Huang, Weiming, et al.
Publicado: (2026)
RadioSim Agent: Combining Large Language Models and Deterministic EM Simulators for Interactive Radio Map Analysis
por: Hussain, Sajjad, et al.
Publicado: (2025)
por: Hussain, Sajjad, et al.
Publicado: (2025)
Ejemplares similares
-
RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNet
por: Jia, Honggang, et al.
Publicado: (2025) -
RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction
por: Wang, Xiucheng, et al.
Publicado: (2025) -
RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
por: Wang, Xiucheng, et al.
Publicado: (2025) -
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
por: Wang, Xiucheng, et al.
Publicado: (2024) -
A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
por: Wang, Xiucheng, et al.
Publicado: (2026)