An LLM-based Agentic Framework for Accessible Network Control
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Samuel, Zhou, Jiawei, Yu, Minlan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
by: Zhou, Jiawei, et al.
Published: (2024)
by: Zhou, Jiawei, et al.
Published: (2024)
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
by: Li, Minghao, et al.
Published: (2023)
by: Li, Minghao, et al.
Published: (2023)
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
by: Shao, Jiawei, et al.
Published: (2024)
by: Shao, Jiawei, et al.
Published: (2024)
MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs
by: Sharma, Prakhar, et al.
Published: (2025)
by: Sharma, Prakhar, et al.
Published: (2025)
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
by: Tong, Jingwen, et al.
Published: (2024)
by: Tong, Jingwen, et al.
Published: (2024)
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
by: Lao, ChonLam, et al.
Published: (2024)
by: Lao, ChonLam, et al.
Published: (2024)
An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networks
by: Papry, Khaleda, et al.
Published: (2026)
by: Papry, Khaleda, et al.
Published: (2026)
Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization
by: Zheng, Jie, et al.
Published: (2026)
by: Zheng, Jie, et al.
Published: (2026)
AI Flow at the Network Edge
by: Shao, Jiawei, et al.
Published: (2024)
by: Shao, Jiawei, et al.
Published: (2024)
NetGPT: Generative Pretrained Transformer for Network Traffic
by: Meng, Xuying, et al.
Published: (2023)
by: Meng, Xuying, et al.
Published: (2023)
Data-driven Modality Fusion: An AI-enabled Framework for Large-Scale Sensor Network Management
by: Dutta, Hrishikesh, et al.
Published: (2025)
by: Dutta, Hrishikesh, et al.
Published: (2025)
SANEmerg: An Emergent Communication Framework for Semantic-aware Agentic AI Networking
by: Xiao, Yong, et al.
Published: (2026)
by: Xiao, Yong, et al.
Published: (2026)
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning
by: Yan, Zijiang, et al.
Published: (2024)
by: Yan, Zijiang, et al.
Published: (2024)
SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
by: Lin, Zehang, et al.
Published: (2025)
by: Lin, Zehang, et al.
Published: (2025)
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
by: Haider, Momin, et al.
Published: (2024)
by: Haider, Momin, et al.
Published: (2024)
Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking
by: Liu, Zhang, et al.
Published: (2025)
by: Liu, Zhang, et al.
Published: (2025)
Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
by: Oh, Myeung Suk, et al.
Published: (2025)
by: Oh, Myeung Suk, et al.
Published: (2025)
Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
by: Lin, ChungYi, et al.
Published: (2024)
by: Lin, ChungYi, et al.
Published: (2024)
Online Learning-based Adaptive Beam Switching for 6G Networks: Enhancing Efficiency and Resilience
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2025)
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2025)
Network Topology Optimization via Deep Reinforcement Learning
by: Li, Zhuoran, et al.
Published: (2022)
by: Li, Zhuoran, et al.
Published: (2022)
Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models
by: Yang, Ze, et al.
Published: (2025)
by: Yang, Ze, et al.
Published: (2025)
NetArena: Dynamic Benchmarks for AI Agents in Network Automation
by: Zhou, Yajie, et al.
Published: (2025)
by: Zhou, Yajie, et al.
Published: (2025)
Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework
by: Park, Yu Min, et al.
Published: (2025)
by: Park, Yu Min, et al.
Published: (2025)
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
by: Gao, Song, et al.
Published: (2025)
by: Gao, Song, et al.
Published: (2025)
Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks
by: Soldati, Pablo, et al.
Published: (2023)
by: Soldati, Pablo, et al.
Published: (2023)
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
by: Liu, Qinshuo, et al.
Published: (2025)
by: Liu, Qinshuo, et al.
Published: (2025)
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network
by: Isah, Abubakar, et al.
Published: (2024)
by: Isah, Abubakar, et al.
Published: (2024)
Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiences
by: Zhang, Yusong, et al.
Published: (2025)
by: Zhang, Yusong, et al.
Published: (2025)
Mobile Network Configuration Recommendation using Deep Generative Graph Neural Network
by: Piroti, Shirwan, et al.
Published: (2024)
by: Piroti, Shirwan, et al.
Published: (2024)
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks
by: Yan, Zijiang, et al.
Published: (2025)
by: Yan, Zijiang, et al.
Published: (2025)
Graph Neural Modeling of Network Flows
by: Darvariu, Victor-Alexandru, et al.
Published: (2022)
by: Darvariu, Victor-Alexandru, et al.
Published: (2022)
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
by: Fuhrer, Benjamin, et al.
Published: (2022)
by: Fuhrer, Benjamin, et al.
Published: (2022)
Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
by: Yan, Zijiang, et al.
Published: (2024)
by: Yan, Zijiang, et al.
Published: (2024)
Uncovering Issues in the Radio Access Network by Looking at the Neighbors
by: Suárez-Varela, José, et al.
Published: (2025)
by: Suárez-Varela, José, et al.
Published: (2025)
Robust Generalization of Graph Neural Networks for Carrier Scheduling
by: Perez-Ramirez, Daniel F., et al.
Published: (2024)
by: Perez-Ramirez, Daniel F., et al.
Published: (2024)
Analyzing Symbolic Properties for DRL Agents in Systems and Networking
by: Zangooei, Mohammad, et al.
Published: (2026)
by: Zangooei, Mohammad, et al.
Published: (2026)
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks
by: Figetakis, Emanuel, et al.
Published: (2024)
by: Figetakis, Emanuel, et al.
Published: (2024)
An Agile Adaptation Method for Multi-mode Vehicle Communication Networks
by: He, Shiwen, et al.
Published: (2024)
by: He, Shiwen, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
by: Fox, Andrea, et al.
Published: (2025)
by: Fox, Andrea, et al.
Published: (2025)
Data-Driven Radio Propagation Modeling using Graph Neural Networks
by: Bufort, Adrien, et al.
Published: (2025)
by: Bufort, Adrien, et al.
Published: (2025)
Similar Items
-
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
by: Zhou, Jiawei, et al.
Published: (2024) -
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
by: Li, Minghao, et al.
Published: (2023) -
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
by: Shao, Jiawei, et al.
Published: (2024) -
MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs
by: Sharma, Prakhar, et al.
Published: (2025) -
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
by: Tong, Jingwen, et al.
Published: (2024)