Optimal Control of SOAs With Artificial Intelligence for Sub-Nanosecond Optical Switching

被引:11
作者
Parsonson, Christopher W. F. [1 ]
Shabka, Zacharaya [1 ]
Chlupka, W. Konrad [1 ]
Goh, Bawang [1 ]
Zervas, Georgios [1 ]
机构
[1] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
基金
英国工程与自然科学研究理事会;
关键词
Optical switches; Semiconductor optical amplifiers; Optimization; Optical packet switching; Optical buffering; High-speed optical techniques; Stimulated emission; Ant colony optimisation; artificial intelligence; data centre networks; genetic algorithm; optical interconnects; optical networks; optical switching; particle swarm optimisation; semiconductor optical amplifiers; REDUCTION; NETWORKS;
D O I
10.1109/JLT.2020.3004645
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Novel approaches to switching ultra-fast semiconductor optical amplifiers using artificial intelligence algorithms (particle swarm optimisation, ant colony optimisation, and a genetic algorithm) are developed and applied both in simulation and experiment. Effective off-on switching (settling) times of 542 ps are demonstrated with just 4.8% overshoot, achieving an order of magnitude improvement over previous attempts described in the literature and standard dampening techniques from control theory.
引用
收藏
页码:5563 / 5573
页数:11
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