:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Junshen, Xu, Angzi, Zhang, Zezhong, Zhang, Shiyao, Chen, Junting, Cui, Shuguang
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2602.18744
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication
di: Wang, Xiucheng, et al.
Pubblicazione: (2025)

Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN
di: Zhang, Zezhong, et al.
Pubblicazione: (2024)

EMS-FL: Federated Tuning of Mixture-of-Experts in Satellite-Terrestrial Networks via Expert-Driven Model Splitting
di: Xu, Angzi, et al.
Pubblicazione: (2026)

Generative MIMO Beam Map Construction for Location Recovery and Beam Tracking
di: Chen, Wangqian, et al.
Pubblicazione: (2025)

Unsupervised Radio Map Construction in Mixed LoS/NLoS Indoor Environments
di: Xing, Zheng, et al.
Pubblicazione: (2025)

Diffraction and Scattering Aware Radio Map and Environment Reconstruction using Geometry Model-Assisted Deep Learning
di: Chen, Wangqian, et al.
Pubblicazione: (2024)

Constructing Indoor Region-based Radio Map without Location Labels
di: Xing, Zheng, et al.
Pubblicazione: (2023)

Radio Map Estimation via Latent Domain Plug-and-Play Denoising
di: Xu, Le, et al.
Pubblicazione: (2025)

RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
di: Wang, Xiucheng, et al.
Pubblicazione: (2025)

PILOT: One Physics-Integrated Generation Framework to Unify 2D and 3D Radio Map Construction
di: Huang, Weiming, et al.
Pubblicazione: (2026)

Blind Radio Mapping via Spatially Regularized Bayesian Trajectory Inference
di: Xing, Zheng, et al.
Pubblicazione: (2025)

RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling
di: Fang, Zheng, et al.
Pubblicazione: (2026)

Energy-modified Leverage Sampling for Radio Map Construction via Matrix Completion
di: Sun, Hao, et al.
Pubblicazione: (2024)

Physics-Informed Neural Networks for MIMO Beam Map and Environment Reconstruction
di: Chen, Wangqian, et al.
Pubblicazione: (2025)

Radio Map Assisted Approach for Interference-Aware Predictive UAV Communications
di: Li, Bowen, et al.
Pubblicazione: (2024)

Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing
di: Jie, Wang, et al.
Pubblicazione: (2024)

Bridging Visual and Wireless Sensing via a Unified Radiation Field for 3D Radio Map Construction
di: Wen, Chaozheng, et al.
Pubblicazione: (2026)

A Radio Map Approach for Reduced Pilot CSI Tracking in Massive MIMO Networks
di: Zheng, Yuanshuai, et al.
Pubblicazione: (2024)

RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
di: Wang, Xiucheng, et al.
Pubblicazione: (2024)

Structure-Aware Near-Field Radio Map Recovery via RBF-Assisted Matrix Completion
di: Sun, Hao, et al.
Pubblicazione: (2025)

Radio Map Assisted Routing and Predictive Resource Allocation over Dynamic Low Altitude Networks
di: Li, Bowen, et al.
Pubblicazione: (2025)

Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps
di: Zhang, Shuhang, et al.
Pubblicazione: (2024)

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
di: Wang, Xiucheng, et al.
Pubblicazione: (2026)

Annotation-Free Indoor Radio Mapping via Physics-Informed Trajectory Inference
di: Xing, Zheng, et al.
Pubblicazione: (2026)

GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative Models
di: Fan, Ming, et al.
Pubblicazione: (2024)

3D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networks
di: Quang, Nguyen Duc Minh, et al.
Pubblicazione: (2025)

Geometry-Aligned Differential Privacy for Location-Safe Federated Radio Map Construction
di: Tian, Jijia, et al.
Pubblicazione: (2025)

RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
di: Chen, Shuai, et al.
Pubblicazione: (2025)

RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse
di: Wang, Xiucheng, et al.
Pubblicazione: (2026)

Robust Channel Learning for Large-Scale Radio Speaker Verification
di: Yang, Wenhao, et al.
Pubblicazione: (2024)

Survey-Free Radio Map Construction via HMM-Based Coarse-to-Fine Inference
di: Xing, Zheng, et al.
Pubblicazione: (2026)

RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation
di: Wang, Xiucheng, et al.
Pubblicazione: (2025)

Diffusion^2: Turning 3D Environments into Radio Frequency Heatmaps
di: Park, Kyoungjun, et al.
Pubblicazione: (2025)

Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification
di: Ma, Jie, et al.
Pubblicazione: (2025)

RMTransformer: Accurate Radio Map Construction and Coverage Prediction
di: Li, Yuxuan, et al.
Pubblicazione: (2025)

Adversarial Learning-Based Radio Map Reconstruction for Fingerprinting Localization
di: Zhang, Jiaming, et al.
Pubblicazione: (2025)

Physics-Inspired Distributed Radio Map Estimation
di: Yang, Dong, et al.
Pubblicazione: (2025)

Joint CFO-Channel Estimation under Strong Inter-Cell Interference for Low-Altitude Radio Mapping
di: Li, Bowen, et al.
Pubblicazione: (2025)

The First Indoor Pathloss Radio Map Prediction Challenge
di: Bakirtzis, Stefanos, et al.
Pubblicazione: (2025)

Blind Construction of Angular Power Maps in Massive MIMO Networks
di: Xing, Zheng, et al.
Pubblicazione: (2025)