ZTE and XLSMART have successfully tested an AI agent for live network optimization, achieving a 25% automated closed-loop rate. This trial explored the potential for agentic automation to extend beyond simple coverage optimization into more complex, multi-vendor radio environments. AI
IMPACT This test demonstrates the potential for AI agents to automate complex network optimizations, which could lead to more efficient and adaptable telecommunications infrastructure.
RANK_REASON The cluster reports on a test of an AI agent for network optimization, which is a specific research milestone in the application of AI to infrastructure. [lever_c_demoted from research: ic=1 ai=0.7]
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