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Published August 27, 2025 | Version 1.1
Software Open

Optical link performance calculator based on the Polynomial Closed-Form GN/EGN model (PCFM)

Creators

  • 1. Politecnico di Torino

Contributors

  • 1. ROR icon Soochow University
  • 2. Politecnico di Torino
  • 3. ROR icon Cisco Systems (United States)

Description

Optical link performance calculator based on the Polynomial Closed-Form GN/EGN model (PCFM). 

The main file is Matlab, the others are mostly MEX files, compiled for Windows/Intel systems and for Linux systems.

The software is capable of fully characterizing the GSNR of each channel of a multi-band, multi-span link, in the presence of ISRS and Raman amplification (both forward and backward).

This is version 1.1: the graphical output of the provided use-case example has been improved. More information is provided, including a breakdown of NLI into SCI and XCI. A dialog lets you choose which span output, of the provided 10-span example of a C+L+S systems, you are interested in.

Files

PCFM_v1.1.zip

Files (181.4 kB)

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md5:1d4aa92e24b5523c9c200b3ca4f15808
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Additional details

Funding

Cisco Systems (United States)
BOOST

Dates

Available
2025-08-27
software

References

  • Pierluigi Poggiolini and Yanchao Jiang, "Recent Advances in Real-Time Models for UWB Transmission Systems," OFC 2025, Tu3K.2, San Francisco, US, 2025
  • Y. Jiang, A. Nespola, A. Tanzi, S. Piciaccia, M. Zefreh, F. Forghieri, P. Poggiolini, "Experimental Test of a Closed-Form EGN Model Over C+L Bands," in Journal of Lightwave Technology, vol. 43, no. 2, pp. 439-449, 2025.
  • Y. Jiang, J. Sarkis, A. Nespola, F. Forghieri, S. Piciaccia, A. Tanzi, M. Zefreh, P. Poggiolini,"Optimization of Long-Haul C+L+S Systems by Means of a Closed Form EGN Model," in Photonics Technology Letters, vol. 36, no. 18, pp. 1129-1132, 2024.
  • Y. Jiang, J. Sarkis, S. Piciaccia, F. Forghieri, P. Poggiolini, "Signal and Backward Raman Pump Power Optimization in Multi-Band Systems Using Fast Power Profile Estimation," in Journal of Lightwave Technology, doi: 10.1109/JLT.2025.3585684.
  • M. Zefreh, F. Forghieri, S. Piciaccia, P. Poggiolini, "Accurate Closed-Form Real-Time EGN Model Formula Leveraging Machine-Learning Over 8500 Thoroughly Randomized Full C-Band Systems," J. of Lightwave Technol., vol. 38, no. 18, pp. 4987-4999, 2020