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Research data supporting "An Analytical Model for Performance Estimation in Modern High-Capacity IMDD Systems"


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Dataset

Change log

Authors

Rizzelli, Giuseppe 
Torres Ferrera, Pablo  ORCID logo  https://orcid.org/0000-0001-9374-4938
Forghieri, Fabrizio 
Gaudino, Roberto 

Description

Excel file containing data to reproduce the figures in the paper "An Analytical Model for Performance Estimation in Modern High-Capacity IMDD Systems", organized in the following six sheets (each of them associated to one Figure in the paper): (1) Fig. 2. a) SNR and b) BER obtained through time domain simulations and through the proposed analytical model as a function of the ratio between the supergaussian filter 3 dB bandwidth 𝐵3𝑑𝐵 and the symbol rate; (2) Fig. 3. a) Δ𝑆 𝑁 𝑅 difference in dB between the analytical and simulated results for a 56 GBaud 4-PAM IMDD system, as a function of the RIN coefficient and of the ratio between the filter 3 dB bandwidth and the symbol rate for both FFE and DFE equalization. b) BER evolution obtained through analytical model and time domain simulations as a function of the ratio between the filter 3 dB bandwidth and the symbol rate for several values of the RIN coefficient and FFE equalization; (3) Fig. 4. Δ𝑆 𝑁 𝑅 difference in dB between the analytical and simulated results as a function of the accumulated dispersion and extinction ratio for both FFE and DFE equalization; (4) Fig. 5. SNR obtained through time domain simulationsand through the proposed analytical model as a function of the received optical power using 56 GBaud 4-PAM with FFE equalization; (5) Fig. 6. SNR obtained through time domain simulations as a function of the number of FFE taps for several numbers of DFE taps; (6) Fig. 8. a) SNR and b) corresponding BER obtained through time domain simulations and through the proposed analytical model as a function of the received optical power using 50 GBaud 4-PAM with FFE equalization in back-to-back and with 25 km SMF in O-band. The data contained in those sheets were obtained after performing simulations and analytical calculations, described in the paper. Different physical parameters (system bandwidth, noise, received power, extinction ration, dispersion) were varied, and the metrics “bit error ratio” (BER) and "signal-to-noise ratio" (SNR) were evaluated for each set of physical parameters. The information is then organized and reported in the tables contained in the Excel sheets.

Version

Software / Usage instructions

Microsoft Excel

Keywords

Intensity Modulation, Direct Detection, Performance Modeling, Optical Communication

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