Field Trial of Intelligent Network-level Energy Saving Strategy over Large-scale Database of Commercial Transport Networks
Konferenz: ECOC 2024 - 50th European Conference on Optical Communication
22.09.2024-26.09.2024 in Frankfurt, Germany
Tagungsband: ITG-Fb. 317: ECOC 2024
Seiten: 4Sprache: EnglischTyp: PDF
Autoren:
Chen, Xinyu; Han, Liuyan; Wang, Minxue; Sun, Jiang; Gao, Yong; Ou, Xuegang; Li, Faxian; Zhang, Dechao; Li, Han
Inhalt:
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.