Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Ruichen, Du, Hongyang, Niyato, Dusit, Kang, Jiawen, Xiong, Zehui, Zhang, Ping, Kim, Dong In |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission
by: Zhang, Ruichen, et al.
Published: (2024)
by: Zhang, Ruichen, et al.
Published: (2024)
Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks
by: Wang, Jiacheng, et al.
Published: (2024)
by: Wang, Jiacheng, et al.
Published: (2024)
Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach
by: Du, Hongyang, et al.
Published: (2024)
by: Du, Hongyang, et al.
Published: (2024)
Generative AI for Space-Air-Ground Integrated Networks
by: Zhang, Ruichen, et al.
Published: (2023)
by: Zhang, Ruichen, et al.
Published: (2023)
Defining Problem from Solutions: Inverse Reinforcement Learning (IRL) and Its Applications for Next-Generation Networking
by: Liu, Yinqiu, et al.
Published: (2024)
by: Liu, Yinqiu, et al.
Published: (2024)
Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study
by: Liu, Yinqiu, et al.
Published: (2024)
by: Liu, Yinqiu, et al.
Published: (2024)
Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse
by: Liu, Guangyuan, et al.
Published: (2024)
by: Liu, Guangyuan, et al.
Published: (2024)
Reinforcement Learning With LLMs Interaction For Distributed Diffusion Model Services
by: Du, Hongyang, et al.
Published: (2023)
by: Du, Hongyang, et al.
Published: (2023)
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)
Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks
by: He, Jiayi, et al.
Published: (2024)
by: He, Jiayi, et al.
Published: (2024)
Hallucination-aware Optimization for Large Language Model-empowered Communications
by: Liu, Yinqiu, et al.
Published: (2024)
by: Liu, Yinqiu, et al.
Published: (2024)
Mixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey
by: Xu, Yunting, et al.
Published: (2025)
by: Xu, Yunting, et al.
Published: (2025)
Toward Democratized Generative AI in Next-Generation Mobile Edge Networks
by: Zhang, Ruichen, et al.
Published: (2024)
by: Zhang, Ruichen, et al.
Published: (2024)
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
by: Xu, Minrui, et al.
Published: (2024)
by: Xu, Minrui, et al.
Published: (2024)
Cross-Modal Generative Semantic Communications for Mobile AIGC: Joint Semantic Encoding and Prompt Engineering
by: Liu, Yinqiu, et al.
Published: (2024)
by: Liu, Yinqiu, et al.
Published: (2024)
Wireless Agentic AI with Retrieval-Augmented Multimodal Semantic Perception
by: Liu, Guangyuan, et al.
Published: (2025)
by: Liu, Guangyuan, et al.
Published: (2025)
Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation
by: Liu, Guangyuan, et al.
Published: (2023)
by: Liu, Guangyuan, et al.
Published: (2023)
Hierarchical Micro-Segmentations for Zero-Trust Services via Large Language Model (LLM)-enhanced Graph Diffusion
by: Liu, Yinqiu, et al.
Published: (2024)
by: Liu, Yinqiu, et al.
Published: (2024)
Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey
by: Liu, Yinqiu, et al.
Published: (2025)
by: Liu, Yinqiu, et al.
Published: (2025)
Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models
by: Wen, Jinbo, et al.
Published: (2024)
by: Wen, Jinbo, et al.
Published: (2024)
Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing
by: Zhang, Ruichen, et al.
Published: (2026)
by: Zhang, Ruichen, et al.
Published: (2026)
Adaptive Contextual Caching for Mobile Edge Large Language Model Service
by: Liu, Guangyuan, et al.
Published: (2025)
by: Liu, Guangyuan, et al.
Published: (2025)
ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches
by: Liu, Yinqiu, et al.
Published: (2024)
by: Liu, Yinqiu, et al.
Published: (2024)
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
by: Du, Hongyang, et al.
Published: (2023)
by: Du, Hongyang, et al.
Published: (2023)
Interactive AI with Retrieval-Augmented Generation for Next Generation Networking
by: Zhang, Ruichen, et al.
Published: (2024)
by: Zhang, Ruichen, et al.
Published: (2024)
Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method
by: Zhang, Ruichen, et al.
Published: (2025)
by: Zhang, Ruichen, et al.
Published: (2025)
Hybrid Reinforcement Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing
by: Xu, Minrui, et al.
Published: (2025)
by: Xu, Minrui, et al.
Published: (2025)
Empowering Wireless Networks with Artificial Intelligence Generated Graph
by: Wang, Jiacheng, et al.
Published: (2024)
by: Wang, Jiacheng, et al.
Published: (2024)
Context-Aware Semantic Communication for the Wireless Networks
by: Liu, Guangyuan, et al.
Published: (2025)
by: Liu, Guangyuan, et al.
Published: (2025)
Generative AI for Advanced UAV Networking
by: Sun, Geng, et al.
Published: (2024)
by: Sun, Geng, et al.
Published: (2024)
Enhancing Wireless Networks with Attention Mechanisms: Insights from Mobile Crowdsensing
by: Yang, Yaoqi, et al.
Published: (2024)
by: Yang, Yaoqi, et al.
Published: (2024)
LLM-Empowered Agentic AI for QoE-Aware Network Slicing Management in Industrial IoT
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
by: Xu, Minrui, et al.
Published: (2024)
by: Xu, Minrui, et al.
Published: (2024)
Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach
by: Liu, Jian, et al.
Published: (2024)
by: Liu, Jian, et al.
Published: (2024)
Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning
by: Liu, Yinqiu, et al.
Published: (2025)
by: Liu, Yinqiu, et al.
Published: (2025)
When Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study
by: Xiong, Yang, et al.
Published: (2024)
by: Xiong, Yang, et al.
Published: (2024)
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
by: Xu, Minrui, et al.
Published: (2024)
by: Xu, Minrui, et al.
Published: (2024)
LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach
by: Liu, Yinqiu, et al.
Published: (2025)
by: Liu, Yinqiu, et al.
Published: (2025)
Graph Diffusion-Based AeBS Deployment and Resource Allocation for RSMA-Enabled URLLC Low-Altitude Economy Networks
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
Multi-objective Low-altitude IRS-assisted ISAC Optimization via Generative AI-enhanced Deep Reinforcement Learning
by: Xie, Wenwen, et al.
Published: (2025)
by: Xie, Wenwen, et al.
Published: (2025)
Similar Items
-
Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission
by: Zhang, Ruichen, et al.
Published: (2024) -
Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks
by: Wang, Jiacheng, et al.
Published: (2024) -
Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach
by: Du, Hongyang, et al.
Published: (2024) -
Generative AI for Space-Air-Ground Integrated Networks
by: Zhang, Ruichen, et al.
Published: (2023) -
Defining Problem from Solutions: Inverse Reinforcement Learning (IRL) and Its Applications for Next-Generation Networking
by: Liu, Yinqiu, et al.
Published: (2024)