A Geometric Algebra-informed NeRF Framework for Generalizable Wireless Channel Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Shen, Jingzhou, Enamorado, Luis Lago, Mao, Shiwen, Wang, Xuyu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NeRF-APT: A New NeRF Framework for Wireless Channel Prediction
by: Shen, Jingzhou, et al.
Published: (2025)
by: Shen, Jingzhou, et al.
Published: (2025)
An Efficient and Explainable KAN Framework for Wireless Radiation Field Prediction
by: Shen, Jingzhou, et al.
Published: (2026)
by: Shen, Jingzhou, et al.
Published: (2026)
Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases
by: Sun, Geng, et al.
Published: (2024)
by: Sun, Geng, et al.
Published: (2024)
Sustainable Diffusion-based Incentive Mechanism for Generative AI-driven Digital Twins in Industrial Cyber-Physical Systems
by: Wen, Jinbo, et al.
Published: (2024)
by: Wen, Jinbo, et al.
Published: (2024)
NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
by: Lu, Haofan, et al.
Published: (2024)
by: Lu, Haofan, et al.
Published: (2024)
SenseRay-3D: Generalizable and Physics-Informed Framework for End-to-End Indoor Propagation Modeling
by: Zheng, Yu, et al.
Published: (2025)
by: Zheng, Yu, et al.
Published: (2025)
Channel Gain Map Construction based on Subregional Learning and Prediction
by: Chen, Jiayi, et al.
Published: (2025)
by: Chen, Jiayi, et al.
Published: (2025)
Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments
by: Huang, Yongming, et al.
Published: (2024)
by: Huang, Yongming, et al.
Published: (2024)
Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
by: Formis, Gabriele, et al.
Published: (2024)
by: Formis, Gabriele, et al.
Published: (2024)
Differentiable and Learnable Wireless Simulation with Geometric Transformers
by: Hehn, Thomas, et al.
Published: (2024)
by: Hehn, Thomas, et al.
Published: (2024)
Multivariate Wireless Link Quality Prediction Based on Pre-trained Large Language Models
by: Yan, Zhuangzhuang, et al.
Published: (2025)
by: Yan, Zhuangzhuang, et al.
Published: (2025)
Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2025)
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2025)
Generalizable Radio-Frequency Radiance Fields for Spatial Spectrum Synthesis
by: Yang, Kang, et al.
Published: (2025)
by: Yang, Kang, et al.
Published: (2025)
pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data
by: Ni, Zhou, et al.
Published: (2025)
by: Ni, Zhou, et al.
Published: (2025)
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
by: Geng, Jiaxiang, et al.
Published: (2024)
by: Geng, Jiaxiang, et al.
Published: (2024)
Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels
by: Xie, Bingyan, et al.
Published: (2025)
by: Xie, Bingyan, et al.
Published: (2025)
Sequence Spreading-Based Semantic Communication Under High RF Interference
by: Barka, Hazem, et al.
Published: (2025)
by: Barka, Hazem, et al.
Published: (2025)
Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks
by: Ding, Zihao, et al.
Published: (2026)
by: Ding, Zihao, et al.
Published: (2026)
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
by: Zhou, Fangtong, et al.
Published: (2025)
by: Zhou, Fangtong, et al.
Published: (2025)
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting
by: Zhao, Tianya, et al.
Published: (2025)
by: Zhao, Tianya, et al.
Published: (2025)
Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
by: Tao, Zhenyu, et al.
Published: (2023)
by: Tao, Zhenyu, et al.
Published: (2023)
The Roadmap to 6G -- AI Empowered Wireless Networks
by: Letaief, Khaled B., et al.
Published: (2019)
by: Letaief, Khaled B., et al.
Published: (2019)
Data Driven Environmental Awareness Using Wireless Signals
by: Nasiri, Hossein, et al.
Published: (2024)
by: Nasiri, Hossein, et al.
Published: (2024)
Wireless Link Quality Estimation Using LSTM Model
by: Kanto, Yuki, et al.
Published: (2024)
by: Kanto, Yuki, et al.
Published: (2024)
Learning from the Best: Active Learning for Wireless Communications
by: Soltani, Nasim, et al.
Published: (2024)
by: Soltani, Nasim, et al.
Published: (2024)
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
by: Rong, Yi, et al.
Published: (2024)
by: Rong, Yi, et al.
Published: (2024)
RIS-assisted Data Collection and Wireless Power Transfer in Low-altitude Wireless Networks
by: Xie, Wenwen, et al.
Published: (2025)
by: Xie, Wenwen, et al.
Published: (2025)
Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
by: Gau, Rung-Hung, et al.
Published: (2024)
by: Gau, Rung-Hung, et al.
Published: (2024)
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
by: Mahdimahalleh, Sajjad Emdadi
Published: (2023)
by: Mahdimahalleh, Sajjad Emdadi
Published: (2023)
A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels
by: Meneghello, Francesca, et al.
Published: (2023)
by: Meneghello, Francesca, et al.
Published: (2023)
KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless
by: Szczech, Kamil, et al.
Published: (2026)
by: Szczech, Kamil, et al.
Published: (2026)
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
by: Liu, Xiaonan, et al.
Published: (2023)
by: Liu, Xiaonan, et al.
Published: (2023)
Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
by: Hoang, Le-Hung, et al.
Published: (2026)
by: Hoang, Le-Hung, et al.
Published: (2026)
Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems
by: Wang, Haidong, et al.
Published: (2026)
by: Wang, Haidong, et al.
Published: (2026)
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
by: Hao, Xin, et al.
Published: (2023)
by: Hao, Xin, et al.
Published: (2023)
Towards Reliable AI in 6G: Detecting Concept Drift in Wireless Network
by: Tziouvaras, Athanasios, et al.
Published: (2025)
by: Tziouvaras, Athanasios, et al.
Published: (2025)
ecoBLE: A Low-Computation Energy Consumption Prediction Framework for Bluetooth Low Energy
by: Schuhmacher, Luisa, et al.
Published: (2023)
by: Schuhmacher, Luisa, et al.
Published: (2023)
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
by: Zhang, Zifan, et al.
Published: (2024)
by: Zhang, Zifan, et al.
Published: (2024)
Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms
by: Adam, Abuzar B. M., et al.
Published: (2024)
by: Adam, Abuzar B. M., et al.
Published: (2024)
ReaCritic: Reasoning Transformer-based DRL Critic-model Scaling For Wireless Networks
by: You, Feiran, et al.
Published: (2025)
by: You, Feiran, et al.
Published: (2025)
Similar Items
-
NeRF-APT: A New NeRF Framework for Wireless Channel Prediction
by: Shen, Jingzhou, et al.
Published: (2025) -
An Efficient and Explainable KAN Framework for Wireless Radiation Field Prediction
by: Shen, Jingzhou, et al.
Published: (2026) -
Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases
by: Sun, Geng, et al.
Published: (2024) -
Sustainable Diffusion-based Incentive Mechanism for Generative AI-driven Digital Twins in Industrial Cyber-Physical Systems
by: Wen, Jinbo, et al.
Published: (2024) -
NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
by: Lu, Haofan, et al.
Published: (2024)