ComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless Networks | ScienceToStartup | ScienceToStartup

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References (14)

[1]

Joint User Association and Beamforming Design for ISAC Networks With Large Language Models

2025Haoyun Li, Ming Xiao et al.

[2]

Exploring LLM-Based Multi-Agent Situation Awareness for Zero-Trust Space-Air-Ground Integrated Network

2025Xinye Cao, Gu Nan et al.

[3]

Wireless Agentic AI with Retrieval-Augmented Multimodal Semantic Perception

Founder's Pitch

"ComAgent bridges user intent with execution in 6G network optimization using a multi-LLM agentic AI framework."

Wireless Networks•Score: 6•View PDF ↗

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0-10 scale

High Potential

2/4 signals

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1/4 signals

2.5

Series A Potential

2/4 signals

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Why It Matters

This research addresses critical challenges in its domain, enabling more effective and intelligent applications.

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ComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless Networks

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References (14)

Founder's Pitch

"ComAgent bridges user intent with execution in 6G network optimization using a multi-LLM agentic AI framework."

Commercial Viability Breakdown

🔭 Research Neighborhood

Why It Matters

Product Angle

Disruption

Product Opportunity

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Research Author 1

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ComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless Networks

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References (14)

Founder's Pitch

"ComAgent bridges user intent with execution in 6G network optimization using a multi-LLM agentic AI framework."

Commercial Viability Breakdown

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