Field Trial of Intelligent Network-level Energy Saving Strategy over Large-scale Database of Commercial Transport Networks
Conference: ECOC 2024 - 50th European Conference on Optical Communication
09/22/2024 - 09/26/2024 at Frankfurt, Germany
Proceedings: ITG-Fb. 317: ECOC 2024
Pages: 4Language: englishTyp: PDF
Authors:
Chen, Xinyu; Han, Liuyan; Wang, Minxue; Sun, Jiang; Gao, Yong; Ou, Xuegang; Li, Faxian; Zhang, Dechao; Li, Han
Abstract:
We propose a novel AI-based prediction-guided traffic migration scheme for energy conservation in transport networks, validated in the first field trial for network-level energy-saving based on a massive online traffic database of 1966 network elements. 7.7% energy-saving profit is realized without affecting service quality.