The Roadmap to 6G -- AI Empowered Wireless Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Letaief, Khaled B., Chen, Wei, Shi, Yuanming, Zhang, Jun, Zhang, Ying-Jun Angela |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Edge Large AI Models: Revolutionizing 6G Networks
by: Wang, Zixin, et al.
Published: (2025)
by: Wang, Zixin, et al.
Published: (2025)
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
by: Letaief, Khaled B., et al.
Published: (2021)
by: Letaief, Khaled B., et al.
Published: (2021)
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)
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)
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
by: Shao, Jiawei, et al.
Published: (2024)
by: Shao, Jiawei, et al.
Published: (2024)
DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV
by: Zhang, Zheng, et al.
Published: (2024)
by: Zhang, Zheng, et al.
Published: (2024)
Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visions
by: Wang, Zhe, et al.
Published: (2024)
by: Wang, Zhe, et al.
Published: (2024)
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
by: Ji, Maoxin, et al.
Published: (2024)
by: Ji, Maoxin, et al.
Published: (2024)
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
by: Xie, Yu, et al.
Published: (2024)
by: Xie, Yu, et al.
Published: (2024)
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
by: Zhang, Cui, et al.
Published: (2024)
by: Zhang, Cui, et al.
Published: (2024)
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks
by: Zhu, Yan, et al.
Published: (2025)
by: Zhu, Yan, et al.
Published: (2025)
PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X
by: Wu, Qiong, et al.
Published: (2025)
by: Wu, Qiong, et al.
Published: (2025)
U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning
by: Wu, Yiang, et al.
Published: (2026)
by: Wu, Yiang, et al.
Published: (2026)
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
by: Tong, Jingwen, et al.
Published: (2024)
by: Tong, Jingwen, et al.
Published: (2024)
Service Function Chain Routing in LEO Networks Using Shortest-Path Delay Statistical Stability
by: Zeng, Li, et al.
Published: (2026)
by: Zeng, Li, et al.
Published: (2026)
Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning
by: Shaon, Shaba, et al.
Published: (2025)
by: Shaon, Shaba, et al.
Published: (2025)
Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies
by: Shi, Yuanming, et al.
Published: (2025)
by: Shi, Yuanming, et al.
Published: (2025)
Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
by: Bakirtzis, Stefanos, et al.
Published: (2024)
by: Bakirtzis, Stefanos, et al.
Published: (2024)
Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G
by: Sun, Ruijin, et al.
Published: (2024)
by: Sun, Ruijin, et al.
Published: (2024)
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
by: Liu, Hang, et al.
Published: (2021)
by: Liu, Hang, et al.
Published: (2021)
Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
by: Wang, Xiucheng, et al.
Published: (2025)
by: Wang, Xiucheng, et al.
Published: (2025)
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)
Intelligent Dynamic Handover via AI-assisted Signal Quality Prediction in 6G Multi-RAT Networks
by: Bartsioka, Maria Lamprini A., et al.
Published: (2025)
by: Bartsioka, Maria Lamprini A., et al.
Published: (2025)
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario
by: Wu, Qiong, et al.
Published: (2024)
by: Wu, Qiong, et al.
Published: (2024)
SAFE: Semantic Adaptive Feature Extraction with Rate Control for 6G Wireless Communications
by: Yan, Yuna, et al.
Published: (2024)
by: Yan, Yuna, et al.
Published: (2024)
Online Learning for Autonomous Management of Intent-based 6G Networks
by: Karakaya, Erciyes, et al.
Published: (2024)
by: Karakaya, Erciyes, 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)
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
by: Celik, Abdulkadir, et al.
Published: (2024)
by: Celik, Abdulkadir, et al.
Published: (2024)
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions
by: Li, Peizheng, et al.
Published: (2024)
by: Li, Peizheng, 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)
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
by: Geng, Jiaxiang, et al.
Published: (2024)
by: Geng, Jiaxiang, et al.
Published: (2024)
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
by: Zhang, Wenjun, et al.
Published: (2024)
by: Zhang, Wenjun, et al.
Published: (2024)
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 from the Best: Active Learning for Wireless Communications
by: Soltani, Nasim, et al.
Published: (2024)
by: Soltani, Nasim, et al.
Published: (2024)
Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting Approach
by: Wen, Chaozheng, et al.
Published: (2024)
by: Wen, Chaozheng, et al.
Published: (2024)
AI-Driven Green Cognitive Radio Networks for Sustainable 6G Communication
by: Sharma, Anshul, et al.
Published: (2025)
by: Sharma, Anshul, et al.
Published: (2025)
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication
by: Cheng, Runze, et al.
Published: (2023)
by: Cheng, Runze, et al.
Published: (2023)
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)
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)
Similar Items
-
Edge Large AI Models: Revolutionizing 6G Networks
by: Wang, Zixin, et al.
Published: (2025) -
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
by: Letaief, Khaled B., et al.
Published: (2021) -
Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
by: Tao, Zhenyu, et al.
Published: (2023) -
Towards Reliable AI in 6G: Detecting Concept Drift in Wireless Network
by: Tziouvaras, Athanasios, et al.
Published: (2025) -
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
by: Shao, Jiawei, et al.
Published: (2024)