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All Moonshots

L4 Autonomous Networks: Agent-powered zero-touch workflows

URN M25.0.832

Topics AI (Artificial Intelligence), Autonomous networks, Intent-based networking

Agent-powered end-to-end automation: Pioneering the autonomous network 'dark factory'

Project companies

Facing the new phase of L4-level autonomous networks, this project focuses on high-value scenarios, promoting the automation capabilities of the original sub-scenarios to connect the dots and form a fully automated end-to-end digital intelligence operation "Dark Factory" production line, achieving minimal to no human intervention in ultra-simplified operations. In the process of network operation and management, the sources of data are very complex and the amount of data is huge. Simple AI technology cannot directly process these data. The intelligent agent uses AI technology as its brain and uses technologies such as perception, knowledge base, tool chain and task planning to assist AI to complete more complex tasks. Therefore, agent is one of the key technologies for achieving end-to-end full automation in L4 autonomous networks. Specific cases and expected results include: 1.Fault Handling Agent: This agent can perceive the overall situation of the network in real time and comprehensively analyze large amounts of data to promptly detect and handle faults, greatly improving the operational efficiency of fault handling. 2.Wireless Network Optimization Agent: This agent can comprehensively perceive and analyze the actual situation and user needs, complete intelligent wireless network optimization tasks, save manpower and improve completion quality.