Title | ||
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Field Trial Of Gaussian Process Learning Of Function-Agnostic Channel Performance Under Uncertainty |
Abstract | ||
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We model and experimentally demonstrate a novel performance learning method based on monitoring and Gaussian process. After 436km dark fiber transmission the model captures most of the test data with reasonable prediction error and enables a robust QoT predictor. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1364/ofc.2018.w4f.5 | 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fanchao Meng | 1 | 0 | 1.35 |
S. Yan | 2 | 2 | 6.16 |
Konstantinos Nikolovgenis | 3 | 0 | 0.68 |
Yanni Ou | 4 | 2 | 3.05 |
Rui Wang | 5 | 1 | 2.44 |
Y. Bi | 6 | 7 | 2.82 |
Emilio Hugues-Salas | 7 | 53 | 9.29 |
Reza Nejabati | 8 | 211 | 43.72 |
Dimitra Simeonidou | 9 | 332 | 80.03 |