mlsanityData to 14 Oct 2026

Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission

arXiv 2404.09134 ↗First posted 14 Apr 2024cs.NI cs.LGcited by 35

On the map: LLM agents and tool use → Agentic AI for wireless networks

also in 1 more
Abstract (arXiv)

In response to the needs of 6G global communications, satellite communication networks have emerged as a key solution. However, the large-scale development of satellite communication networks is constrained by the complex system models, whose modeling is challenging for massive users. Moreover, transmission interference between satellites and users seriously affects communication performance. To solve these problems, this paper develops generative artificial intelligence (AI) agents for model formulation and then applies a mixture of experts (MoE) approach to design transmission strategies. Specifically, we leverage large language models (LLMs) to build an interactive modeling paradigm and utilize retrieval-augmented generation (RAG) to extract satellite expert knowledge that supports mathematical modeling. Afterward, by integrating the expertise of multiple specialized components, we propose an MoE-proximal policy optimization (PPO) approach to solve the formulated problem. Each expert can optimize the optimization variables at which it excels through specialized training through its own network and then aggregates them through the gating network to perform joint optimization. The simulation results validate the accuracy and effectiveness of employing a generative agent for problem formulation. Furthermore, the superiority of the proposed MoE-ppo approach over other benchmarks is confirmed in solving the formulated problem. The adaptability of MoE-PPO to various customized modeling problems has also been demonstrated.

Key facts. Cited by 35 papers in the map (data through 14 Oct 2026). Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use. Builds on 24 of its 54 references that are in the map. First posted on arXiv 14 Apr 2024.

Builds on

24 of 54 references.

References · 24

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  3. 2021GLaM: Efficient Scaling of Language Models with Mixture-of-Expertscited by 897
  4. 2023Benchmarking Large Language Models in Retrieval-Augmented Generationcited by 312
  5. 2013Learning Factored Representations in a Deep Mixture of Expertscited by 278
  6. 2023InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviewscited by 179
  7. 2023SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Taskscited by 168
  8. 2024Mixtures of Experts Unlock Parameter Scaling for Deep RLcited by 78
  9. 2018Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networkscited by 70
  10. 2023Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimizationcited by 56
  11. 2023TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Expertscited by 45
  12. 2020Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learningcited by 39
12 more
  1. 2020Satellite Communications in the New Space Era: A Survey and Future Challengescited by 36
  2. 2024Interactive AI with Retrieval-Augmented Generation for Next Generation Networkingcited by 34
  3. 2021Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learningcited by 27
  4. 2021Satellite Based Computing Networks with Federated Learningcited by 25
  5. 2023Generative AI for Space-Air-Ground Integrated Networkscited by 9
  6. 2023Reinforcement Learning With LLMs Interaction For Distributed Diffusion Model Servicescited by 7
  7. 2019Rate-Splitting Unifying SDMA, OMA, NOMA, and Multicasting in MISO Broadcast Channel: A Simple Two-User Rate Analysiscited by 6
  8. 2022LEO Satellite Access Network (LEO-SAN) Towards 6G: Challenges and Approachescited by 5
  9. 2021LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?cited by 4
  10. 2022Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Aheadcited by 4
  11. 2020Channel Gain Cartography via Mixture of Expertscited by 2
  12. 2022Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networkscited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 5; 2025: 24; 2026: 6.

35 papers.

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  1. 2025From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Userscited by 32
  2. 2025Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environmentscited by 9
  3. 2025Toward Agentic AI: Generative Information Retrieval Inspired Intelligent Communications and Networkingcited by 9
  4. 2026ComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless Networkscited by 8
  5. 2024Generative Semantic Communication for Joint Image Transmission and Segmentationcited by 6
  6. 2025DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Surveycited by 6
  7. 2025Diffusion Models for Future Networks and Communications: A Comprehensive Surveycited by 6
  8. 2024Retrieval-augmented Generation for GenAI-enabled Semantic Communicationscited by 5
  9. 2025LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approachcited by 5
  10. 2025Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systemscited by 4
  11. 2024Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Modelscited by 3
  12. 2024Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimizationcited by 3
23 more
  1. 2024When Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Studycited by 3
  2. 2025Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehiclescited by 2
  3. 2025Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operationscited by 2
  4. 2025Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networkingcited by 2
  5. 2025From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communicationscited by 2
  6. 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approachescited by 2
  7. 2025Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimizationcited by 2
  8. 2025Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systemscited by 2
  9. 2025Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directionscited by 1
  10. 2025BERT4beam: Large AI Model Enabled Generalized Beamforming Optimizationcited by 1
  11. 2025Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Frameworkcited by 0
  12. 2025Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioningcited by 0
  13. 2025A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Casecited by 0
  14. 2025Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awarenesscited by 0
  15. 2025Task-Oriented Edge-Assisted Cross-System Design for Real-Time Human-Robot Interaction in Industrial Metaversecited by 0
  16. 2025Resource-Aware LLM Reasoning for Mobile Edge General Intelligencecited by 0
  17. 2025Asynchronous Risk-Aware Multi-Agent Packet Routing for Ultra-Dense LEO Satellite Networkscited by 0
  18. 2025Embodied AI-Enhanced IoMT Edge Computing: UAV Trajectory Optimization and Task Offloading with Mobility Predictioncited by 0
  19. 2026Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inferencecited by 0
  20. 2026Agentic AI-Empowered Wireless Agent Networks With Semantic-Aware Collaboration via ILACcited by 0
  21. 2026When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for Spectrum Management in Satellite-Terrestrial Networkscited by 0
  22. 2026AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Roboticscited by 0
  23. 2026Logit-Aware MIMO AirComp for Distributed Mixture-of-Experts LLM Inference over Wireless Edge Networkscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space Networks
  2. 2026Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models
  3. 2025On the Role of AI in Managing Satellite Constellations: Insights from the ConstellAI Project
  4. 2026Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
  5. 2024Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks
  6. 2025Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning
  7. 2024Agent-driven Generative Semantic Communication with Cross-Modality and Prediction
  8. 2024A Primer on Generative AI for Telecom: From Theory to Practice