Efficient Multi-Agent Optimization of Optical Power in S+C+L-Band Systems
arXiv:2606.0579580.0
AI Analysis
This work addresses the need for efficient power management in multi-band optical networks, offering a practical solution for network operators.
The paper proposes an AI agent for optimizing optical power in multi-band systems, achieving a 689.0 Tbps gain in total allocated traffic with only 303 average interactions per power profile.
We propose an AI Agent tailored for link power management in multi-band systems. In S+C+L band span-level study, the agent efficiently solves various optimization objectives. In network-wide evaluation, it delivers 689.0 Tbps gain in total allocated traffic with merely 303 average interactions per power profile.