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A shared regeneration location scheme with auxiliary graph and deep neural networks in translucent optical networks
Author(s): Bao Wang; Shan Yin; Shijia Guo; Rong Ma; Shanguo Huang
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Paper Abstract

A shared regeneration location scheme including an OSNR Deep Neural Networks calculation model and a shared regeneration location algorithm is proposed and demonstrated for regenerator placement problem. Simulation results show that it performs better on real scene simulation with OSNR and reductions of number of regenerations and regeneration sites.

Paper Details

Date Published: 14 February 2019
PDF: 5 pages
Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110480O (14 February 2019); doi: 10.1117/12.2518824
Show Author Affiliations
Bao Wang, Beijing Univ. of Posts and Telecommunications (China)
Shan Yin, Beijing Univ. of Posts and Telecommunications (China)
Shijia Guo, Beijing Univ. of Posts and Telecommunications (China)
Rong Ma, Beijing Univ. of Posts and Telecommunications (China)
Shanguo Huang, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 11048:
17th International Conference on Optical Communications and Networks (ICOCN2018)
Zhaohui Li, Editor(s)

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