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Artificial neural network based link OSNR estimation with a network approach
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Paper Abstract

The performance monitoring of fiber-optics communication is an important task in nowadays communication system. Link optical noise-to-signal ratio (OSNR) is one of the most important parameters that affect the performance of optical networks. The traditional internal measurement method may increase the network construction cost and operation complexity. To overcome these drawbacks, an ANN based link OSNR estimation method with external measurement is proposed in this paper. Route level OSNR values are measured at the edge nodes and are used for link level OSNR estimation with the trained ANN. Besides, a heuristic method for route set generation is proposed to generate the route set that introduce fewer extra network load. The experiment results demonstrate that the ANN based method can meet the practical requirement in both estimation accuracy and computation complexity. The proposed method can be an important part of optical network OSNR monitoring to ensure robust and intelligent network operation.

Paper Details

Date Published: 12 December 2018
PDF: 10 pages
Proc. SPIE 10849, Fiber Optic Sensing and Optical Communication, 1084912 (12 December 2018); doi: 10.1117/12.2505502
Show Author Affiliations
Zeyuan Yang, Beijing Univ. of Posts and Telecommunications (China)
Rentao Gu, Beijing Univ. of Posts and Telecommunications (China)
Beijing Univ. of Technology (China)
Dajiang Wang, ZTE Corp. (China)
Yanxia Tan, Beijing Univ. of Posts and Telecommunications (China)
Beijing Univ. of Technology (China)
Hongbiao Li, ZTE Corp. (China)
Yuefeng Ji, Beijing Univ. of Posts and Telecommunications (China)
Beijing Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10849:
Fiber Optic Sensing and Optical Communication
Jie Zhang; Songnian Fu; Qunbi Zhuge; Ming Tang; Tuan Guo, Editor(s)

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