An agentic framework uses LLMs to orchestrate MoE optimization experts for throughput, fairness, and delay objectives in joint computing and networking, achieving near-optimal simulation performance.
MX-AI: Agentic Observ- ability and Control Platform for Open and AI-RAN
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UNVERDICTED 3representative citing papers
An LLM-agent framework with RAG automates assessment, justification, and remediation of RAN security compliance for evolving 6G standards.
Proposes an LLM-based agentic framework bridging O-RAN and AI-RAN for energy-efficient multi-objective optimization in 6G RANs.
citing papers explorer
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Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models
An agentic framework uses LLMs to orchestrate MoE optimization experts for throughput, fairness, and delay objectives in joint computing and networking, achieving near-optimal simulation performance.
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Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance
An LLM-agent framework with RAG automates assessment, justification, and remediation of RAN security compliance for evolving 6G standards.
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From RAN Control to Agentic Intelligence: Architecture and Vision for Energy Efficient AI-RAN
Proposes an LLM-based agentic framework bridging O-RAN and AI-RAN for energy-efficient multi-objective optimization in 6G RANs.