Design Optimisation of Power-Efficient Submarine Line through Machine Learning
Subsea
Repeater (horology)
Line (geometry)
Flattening
DOI:
10.1364/cleo_si.2020.sth4m.5
Publication Date:
2020-09-14T19:29:43Z
AUTHORS (5)
ABSTRACT
An optimised subsea system design for energy-efficient SDM operation is demonstrated using machine learning. The removal of gain-flattening filters employed in submarine optical amplifiers can result capacity gains at no additional overall repeater cost.
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