Data · dataset · 2022
Data Sets for SNR Estimation in Flexible Optical Networks: Lightpath, Link, and Span Levels
Listed in e-cienciaDatos
These data sets have been generated based on the analytic models [1,2] to estimate signal to the noise ratio (SNR) for spans, links, and lightpaths of a Flexible Optical Network (FON) over standard single-mode fiber (SSMF).
Description
For PM-BPSK and PM-QPSK modulation format levels, equation 41-43 [1], and for PM-8-64QAM modulation format levels, equation 7.32 [2], are applied. [1] P. Poggiolini, G. Bosco, A. Carena, V. Curri, Y. Jiang and F. Forghieri, "The GN-Model of Fiber Non-Linear Propagation and its Applications," in Journal of Lightwave Technology, vol. 32, no. 4, pp. 694-721, Feb.15, 2014, DOI: 10.1109/JLT.2013.2295208.
[2] P. Poggiolini, Y. Jiang, A. Carena and F. Forghieri, "Analytical modeling of the impact of fiber non-linear propagation on coherent systems and networks" in Enabling Technologies for High Spectral-Efficiency Coherent Optical Communication Networks, New York, NY, USA:Wiley, pp. 247-310, 2016. | Farhad Arpanaei acknowledges support from the CONEX-Plus programme funded by Universidad Carlos III de Madrid and the European Union s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 801538.
Links
Where it is published
- Dataverse dataset page edatos.consorciomadrono.es/dataset.xhtml?persistentId=doi%3A10.5281%2FZENODO.6529732 ↗
landing page · from edatos consorciomadrono es
- DOI doi.org/10.5281/zenodo.6529732 ↗
DOI / persistent id · from edatos consorciomadrono es
Catalogue records · 1
- Dataverse API edatos.consorciomadrono.es/api/datasets/:persistentId/?persistentId=doi%3A10.5281%2FZENOD… ↗
metadata API · from edatos consorciomadrono es
Topics
- From keywords
- Computer Science & AI
- Inferred from text
- Distributed computing and systems software 68%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| e-cienciaDatos | doi:10.5281/ZENODO.6529732 | 12 d ago | JSON v1 |
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|---|---|---|---|
| concepts[field].anzsrc:group:4606 | enrichment · edatos consorciomadrono es | taxonomy-embedding@1.1.0 | title+keywords+description (68%) |
| concepts[field].local:field:computer-science-ai | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| created_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| description | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /description |
| publication_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| title | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /name |
| updated_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 |