Neural Network-Based Control of TDFA

被引：0

作者：

Radovic, Margita ^{[1
]}

Sgambelluri, Andrea ^{[1
]}

Sambo, Nicola ^{[1
]}

Castoldi, Piero ^{[1
]}

机构：

[1] Scuola Super Sant Anna, TeCIP, Pisa, Italy

来源：

PROCEEDINGS OF THE 2024 INTERNATIONAL CONFERENCE ON OPTICAL NETWORK DESIGN AND MODELING, ONDM 2024 | 2024年

关键词：

Multi-band; TDFA; SDN control; neural networks; NETCONF; YANG;

D O I：

10.23919/ONDM61578.2024.10582662

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：

The complexity of controlling optical amplifiers with multiple pumps, like Thulium-Doped Fiber Amplifiers (TDFAs), stems from the need to select the optimal pumping to ensure proper operation (e.g., maintaining a constant target output power). Therefore, an experimental demonstration of neural network-assisted SDN control of TDFA configuration is presented. The proposed optimization enables efficient automated TDFA control, resulting in an RMSE of 0.23 dBm between target and actual output power.

引用

页数：3

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