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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Data sets for Span-level SNR Regression in EONs

Research datakeyboard_double_arrow_right Dataset 03 May 2022Publisher:ZenodoFunded by:EC | CONEX-Plus
Authors: Arpanaei, Farhad;

doi: 10.5281/zenodo.6513817 , 10.5281/zenodo.6513816

Data sets for Span-level SNR Regression in EONs

Abstract

DS1: the symbol rate is fixed and equals 64 Gbaud, and the channel loading factor is selected from [25 − 100]; DS2: the symbol rate and channel occupancy status is randomly selected (uniformly distributed) from {32, 64, 96 (GBaud) and {0, 1}, respectively; DS3: both symbol rate and the channel loading factor are fixed and equal to 64 GBaud and 25%, respectively.

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.

Related Organizations
Keywords

Elastic Optical Networks, Quality of Transmission (QoT), Machine Leaning, Signal to the Noise Ratio (SNR), Transmission Software-Defined Networks

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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