Optimising O-to-U Band Transmission Using Fast ISRS Gaussian Noise Numerical Integral Model
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910507215093760 |
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| author | Jarmolovičius, Mindaugas Semrau, Daniel Buglia, Henrique Shevchenko, Mykyta Ferreira, Filipe M. Sillekens, Eric Bayvel, Polina Killey, Robert I. |
| author_facet | Jarmolovičius, Mindaugas Semrau, Daniel Buglia, Henrique Shevchenko, Mykyta Ferreira, Filipe M. Sillekens, Eric Bayvel, Polina Killey, Robert I. |
| contents | We model the transmission of ultrawideband signals, including wavelength-dependent fibre parameters: dispersion, nonlinear coefficient and effective fibre core area. To that end, the inter-channel stimulated Raman scattering Gaussian noise integral model is extended to include these parameters. The integrals involved in this frequency-domain model are numerically solved in hyperbolic coordinates using a Riemann sum. The model implementation is designed to work on parallel GPUs and is optimised for fast computational time. The model is valid for Gaussian-distributed signals and is compared with the split-step Fourier method, for transmission over standard single-mode fibre (SSMF) in the O-band (wavelengths around the zero-dispersion wavelength), showing reasonable agreement. Further, we demonstrated SNR evaluation over an 80~km SSFM single-span transmission using 589x96 GBaud channels, corresponding to almost 59 THz optical bandwidth, fully populating the O, E, S, C, L and U bands (1260-1675 nm). The SNR evaluation is completed in just 3.6 seconds using four Nvidia V100 16GB PCIe GPUs. Finally, we used this model to find the optimum launch power profile for this system achieving 747 Tbps of potential throughput over 80 km fibre and demonstrating its suitability for UWB optimisation routines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_18022 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimising O-to-U Band Transmission Using Fast ISRS Gaussian Noise Numerical Integral Model Jarmolovičius, Mindaugas Semrau, Daniel Buglia, Henrique Shevchenko, Mykyta Ferreira, Filipe M. Sillekens, Eric Bayvel, Polina Killey, Robert I. Signal Processing We model the transmission of ultrawideband signals, including wavelength-dependent fibre parameters: dispersion, nonlinear coefficient and effective fibre core area. To that end, the inter-channel stimulated Raman scattering Gaussian noise integral model is extended to include these parameters. The integrals involved in this frequency-domain model are numerically solved in hyperbolic coordinates using a Riemann sum. The model implementation is designed to work on parallel GPUs and is optimised for fast computational time. The model is valid for Gaussian-distributed signals and is compared with the split-step Fourier method, for transmission over standard single-mode fibre (SSMF) in the O-band (wavelengths around the zero-dispersion wavelength), showing reasonable agreement. Further, we demonstrated SNR evaluation over an 80~km SSFM single-span transmission using 589x96 GBaud channels, corresponding to almost 59 THz optical bandwidth, fully populating the O, E, S, C, L and U bands (1260-1675 nm). The SNR evaluation is completed in just 3.6 seconds using four Nvidia V100 16GB PCIe GPUs. Finally, we used this model to find the optimum launch power profile for this system achieving 747 Tbps of potential throughput over 80 km fibre and demonstrating its suitability for UWB optimisation routines. |
| title | Optimising O-to-U Band Transmission Using Fast ISRS Gaussian Noise Numerical Integral Model |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2401.18022 |