Data underpinning "On Data-Aided Coherent Equalization for DCI Applications using Single-Mode and Universal Fibers"

DOI

Data points for the paper "On Data-Aided Coherent Equalization for DCI Applications using Single-Mode and Universal Fibers". A brief description of the files is presented below:snr_vs_power_NTSsb_64_to_2048_FibreA.xlsx: Signal-to-noise ratio as a function of the launch power obtained with the fibre A for different training sequence lengths (from 64 to 2048 symbols). The first six columns correspond to the launch power at which performance was measured. The subsequent six columns correspond to the signal-to-noise ratio values for the different training sequence lengths. Columns are sorted in ascending order with respect to the training sequence length. This file allows full reproduction of Fig. 2(b).snr_vs_power_NTSsb_64_to_2048_UF.xlsx: Signal-to-noise ratio as a function of the launch power obtained with the universal fibre for different training sequence lengths (from 64 to 2048 symbols). The first six columns correspond to the launch power at which performance was measured. The subsequent six columns correspond to the signal-to-noise ratio values for the different training sequence lengths. Columns are sorted in ascending order with respect to the training sequence length. This file allows full reproduction of Fig. 2(b).ccdf_results_FibreA_1_to_0_v2 & ccdf_results_UF_1_to_0_v2.xlsx: Cumulative distributino functions of the probability density functions for signal-to-noise ratio values obtained with fibre A and universal fibre, respectively, under different channel estimation rates. These files allow full reproduction of Fig. 3(d).Files titled snr_vs_time_UF_chRate and snr_vs_time_FibreA_chRate provide the signal-to-noise ratio obtained with the universal fibre and fibre A, respectively, after processing 4967 consecutive frames under different channel estimation rates (i.e. for every frame, 10th and 100th frame). These files allow full reproduction of Figs. 3(a), 3(b), 3(c) and 3(d).

Identifier
DOI https://doi.org/10.5522/04/27284361
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Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/31637827
Provenance
Creator Barbosa, Fabio Aparecido; Marques Ferreira, Filipe; Li, Ming-Jun
Publisher University College London UCL
Contributor Figshare
Publication Year 2026
Rights https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Other