ANN-based multi-channel QOT-prediction over A 563.4-km field-trial testbed
ANN-based multi-channel QOT-prediction over A 563.4-km field-trial testbed
- Author(s): Zhengguang Gao ; Shuangyi Yan ; Jiawei Zhang ; M. Mascarenhas ; R. Nejabati ; Yuefeng Ji ; D. Simeonidou
- DOI: 10.1049/cp.2019.0986
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- Author(s): Zhengguang Gao ; Shuangyi Yan ; Jiawei Zhang ; M. Mascarenhas ; R. Nejabati ; Yuefeng Ji ; D. Simeonidou Source: 45th European Conference on Optical Communication (ECOC 2019), 2019 page (4 pp.)
- Conference: 45th European Conference on Optical Communication (ECOC 2019)
- DOI: 10.1049/cp.2019.0986
- ISBN: 978-1-83953-185-9
- Location: Dublin, Ireland
- Conference date: 22-26 Sept. 2019
- Format: PDF
We demonstrated an ANN-based multiple-channel QoT predictor over a 563.4-km field-trial testbed. The proposed ANN-based approach predicted Q-factors of the planning unestablished channels and the existed channels with maximum error of 0.06dB. The predictions provide important prior-information for dynamic reconfigurations of low-margin optical networks.
Inspec keywords: optical computing; neural nets; optical fibre networks; Q-factor
Subjects: Optical computing techniques; Neural computing techniques; Optical fibre networks
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