Autonomous
Multi-agent AGENTIC
AI System for 6G Networks
36
Months
9
Partners
3
Phases
2
Use Cases
AGENTIC6G’s Vision
Transform future 6G networks through autonomous multi-agent Agentic AI systems capable of intelligent, adaptive, and trustworthy decision-making. The project aims to address the growing complexity of AI-native 6G environments by enabling distributed AI agents to autonomously manage network and service operations, optimise resources, and enhance resilience and security. By combining advanced AI technologies, distributed intelligence, and network automation, AGENTIC6G will contribute to the development of scalable, efficient, and resilient 6G ecosystems aligned with the SNS JU vision.
Project's Objectives
Autonomous Multi-Agent Architecture
Design a distributed multi-agent architecture for autonomous AI-native Beyond-5G and 6G networks.
Dynamic AI Agent Generation
Enable the dynamic creation, onboarding, and management of intelligent AI agents.
Intent-Based Network Intelligence
Develop intelligent tools that enable autonomous network management through intent-driven operations.
AgenticOps Framework
Introduce the AgenticOps paradigm for orchestrating and managing multiple AI agents throughout their lifecycle.
Hybrid AI-Native Orchestration
Enable intelligent orchestration through autonomous service composition and collaborative knowledge sharing.
Validation Through Real-World Use Cases
Validate the Agentic6G framework through representative telecom and vertical use cases.
Impact, Standardisation and Open Source
Promote the project's results through dissemination, standardisation, and open-source collaboration.
Project's Objectives
Autonomous Multi-Agent Architecture
Design a distributed multi-agent architecture for autonomous AI-native Beyond-5G and 6G networks.
Dynamic AI Agent Generation
Enable the dynamic creation, onboarding, and management of intelligent AI agents.
Intent-Based Network Intelligence
Develop intelligent tools that enable autonomous network management through intent-driven operations.
AgenticOps Framework
Introduce the AgenticOps paradigm for orchestrating and managing multiple AI agents throughout their lifecycle.
Hybrid AI-Native Orchestration
Enable intelligent orchestration through autonomous service composition and collaborative knowledge sharing.
Validation Through Real-World Use Cases
Validate the Agentic6G framework through representative telecom and vertical use cases.
Impact, Standardisation and Open Source
Promote the project's results through dissemination, standardisation, and open-source collaboration.
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