LLM4MAC: An LLM-Driven Reinforcement Learning Framework for MAC Protocol Emergence
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Renxuan, Li, Rongpeng, Zhao, Zhifeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation
by: Kim, Yongjun, et al.
Published: (2025)
by: Kim, Yongjun, et al.
Published: (2025)
ML Framework for Wireless MAC Protocol Design
by: Keshtiarast, Navid, et al.
Published: (2024)
by: Keshtiarast, Navid, et al.
Published: (2024)
Comparative Study of MAC Protocols for Wireless Mesh Network
by: Singh, Ankita, et al.
Published: (2024)
by: Singh, Ankita, et al.
Published: (2024)
HENO-MAC: Hybrid Energy Harvesting-based Energy Neutral Operation MAC Protocol for Delay-Sensitive IoT Applications
by: Sarang, Sohail, et al.
Published: (2024)
by: Sarang, Sohail, et al.
Published: (2024)
NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
by: Meng, Kechen, et al.
Published: (2026)
by: Meng, Kechen, et al.
Published: (2026)
Optimizing NetGPT via Routing-Based Synergy and Reinforcement Learning
by: Chen, Yuxuan, et al.
Published: (2025)
by: Chen, Yuxuan, et al.
Published: (2025)
MAC Address Anonymization for Crowd Counting
by: Determe, Jean-François, et al.
Published: (2020)
by: Determe, Jean-François, et al.
Published: (2020)
The 802.11 MAC protocol leads to inefficient equilibria
by: Tan, Godfrey, et al.
Published: (2026)
by: Tan, Godfrey, et al.
Published: (2026)
Demo: Testing AI-driven MAC Learning in Autonomic Networks
by: Paeleke, Leonard, et al.
Published: (2024)
by: Paeleke, Leonard, et al.
Published: (2024)
Hybrid MAC Protocol with Integrated Multi-Layered Security for Resource-Constrained UAV Swarm Communications
by: Bhatt, Dhrumil, et al.
Published: (2025)
by: Bhatt, Dhrumil, et al.
Published: (2025)
MAC Revivo: Artificial Intelligence Paves the Way
by: Pan, Jinzhe, et al.
Published: (2024)
by: Pan, Jinzhe, et al.
Published: (2024)
EMF Exposure Mitigation via MAC Scheduling
by: Mandelli, Silvio, et al.
Published: (2024)
by: Mandelli, Silvio, et al.
Published: (2024)
MAC Address De-Randomization Using Multi-Channel Sniffers and Two-Stage Clustering
by: Baccichet, Giovanni, et al.
Published: (2024)
by: Baccichet, Giovanni, et al.
Published: (2024)
An Admission Control Algorithm for Isochronous and Asynchronous Traffic in IEEE 802.11ad MAC
by: Sahoo, Anirudha
Published: (2024)
by: Sahoo, Anirudha
Published: (2024)
MAC Aggregation over Lossy Channels in DTLS 1.3
by: Wagner, Eric, et al.
Published: (2025)
by: Wagner, Eric, et al.
Published: (2025)
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
by: Yu, Xiaoxue, et al.
Published: (2024)
by: Yu, Xiaoxue, et al.
Published: (2024)
Is DRL-based MAC Ready for Underwater Acoustic Networks? Exploring Its Practicality in Real Field Experiments
by: Guo, Jiani, et al.
Published: (2026)
by: Guo, Jiani, et al.
Published: (2026)
Effects Investigation of MAC and PHY Layer Parameters on the Performance of IEEE 802.15.6 CSMA/CA
by: Siddik, Md. Abubakar, et al.
Published: (2024)
by: Siddik, Md. Abubakar, et al.
Published: (2024)
Conditional Diffusion Model with OOD Mitigation as High-Dimensional Offline Resource Allocation Planner in Clustered Ad Hoc Networks
by: Meng, Kechen, et al.
Published: (2025)
by: Meng, Kechen, et al.
Published: (2025)
Over-the-Air Runtime Wi-Fi MAC Address Re-randomization
by: Jin, Hongyu, et al.
Published: (2024)
by: Jin, Hongyu, et al.
Published: (2024)
A Comparative Analyses Of Network Formation In Low-power Lossy Networks: ContikiMAC vs Orchestra-enabled TSCH
by: Banerjee, Heerok
Published: (2025)
by: Banerjee, Heerok
Published: (2025)
A deep-learning-based MAC for integrating channel access, rate adaptation and channel switch
by: Xin, Jiantao, et al.
Published: (2024)
by: Xin, Jiantao, et al.
Published: (2024)
MAC protocol classification in the ISM band using machine learning methods
by: Rashidpour, Hanieh, et al.
Published: (2024)
by: Rashidpour, Hanieh, et al.
Published: (2024)
LLM Agent Communication Protocol (LACP) Requires Urgent Standardization: A Telecom-Inspired Protocol is Necessary
by: Li, Xin, et al.
Published: (2025)
by: Li, Xin, et al.
Published: (2025)
WiLLM: an Open Framework for LLM Services over Wireless Systems
by: Liu, Boyi, et al.
Published: (2025)
by: Liu, Boyi, et al.
Published: (2025)
Dynamic Cooperative MAC Optimization in RSU-Enhanced VANETs: A Distributed Approach
by: Zhang, Zhou, et al.
Published: (2024)
by: Zhang, Zhou, et al.
Published: (2024)
Toward 6G Sidelink Reliability: MAC PRR Modeling for NR Mode 2 SPS and ns-3 Validation
by: Cao, Liu, et al.
Published: (2023)
by: Cao, Liu, et al.
Published: (2023)
NetMCP: Network-Aware Model Context Protocol Platform for LLM Capability Extension
by: Li, Enhan, et al.
Published: (2025)
by: Li, Enhan, et al.
Published: (2025)
LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach
by: Tan, Renxuan, et al.
Published: (2025)
by: Tan, Renxuan, et al.
Published: (2025)
Benchmarking LLM-Driven Network Configuration Repair
by: Protogeros, Ioannis, et al.
Published: (2026)
by: Protogeros, Ioannis, et al.
Published: (2026)
Automated Extraction of Protocol State Machines from 3GPP Specifications with Domain-Informed Prompts and LLM Ensembles
by: Zhang, Miao, et al.
Published: (2025)
by: Zhang, Miao, et al.
Published: (2025)
An LLM-Agent-Based Framework for Age of Information Optimization in Heterogeneous Random Access Networks
by: Liu, Fang, et al.
Published: (2026)
by: Liu, Fang, et al.
Published: (2026)
Model Context Protocol-based Internet of Experts For Wireless Environment-aware LLM Agents
by: Liu, Zongxi, et al.
Published: (2025)
by: Liu, Zongxi, et al.
Published: (2025)
Automated Network Protocol Testing with LLM Agents
by: Wei, Yunze, et al.
Published: (2025)
by: Wei, Yunze, et al.
Published: (2025)
A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols
by: Voigt, Johannes, et al.
Published: (2025)
by: Voigt, Johannes, et al.
Published: (2025)
LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning
by: Habib, Md Arafat, et al.
Published: (2024)
by: Habib, Md Arafat, et al.
Published: (2024)
LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems
by: Duan, Tianyang, et al.
Published: (2025)
by: Duan, Tianyang, et al.
Published: (2025)
A MAC Protocol with Time Reversal for Wireless Networks within Computing Packages
by: Bandara, Ama, et al.
Published: (2024)
by: Bandara, Ama, et al.
Published: (2024)
Entanglement-Assisted Coding for Arbitrary Linear Computations Over a Quantum MAC
by: Hu, Lei, et al.
Published: (2025)
by: Hu, Lei, et al.
Published: (2025)
M3LLM: Model Context Protocol-aided Mixture of Vision Experts For Multimodal LLMs in Networks
by: Zeng, Yongjie, et al.
Published: (2025)
by: Zeng, Yongjie, et al.
Published: (2025)
Similar Items
-
Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation
by: Kim, Yongjun, et al.
Published: (2025) -
ML Framework for Wireless MAC Protocol Design
by: Keshtiarast, Navid, et al.
Published: (2024) -
Comparative Study of MAC Protocols for Wireless Mesh Network
by: Singh, Ankita, et al.
Published: (2024) -
HENO-MAC: Hybrid Energy Harvesting-based Energy Neutral Operation MAC Protocol for Delay-Sensitive IoT Applications
by: Sarang, Sohail, et al.
Published: (2024) -
NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
by: Meng, Kechen, et al.
Published: (2026)