Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/26533
Autoria: Venda, P.
Rebola, J.
Cancela, L.
Data: 2022
Título próprio: Impact of traffic load and spectral occupancy on Gaussian noise models performance for multiband networks
Título e volume do livro: 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Paginação: 240 - 245
Título do evento: 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022
Referência bibliográfica: Venda, P., Rebola, J., & Cancela, L. (2022). Impact of traffic load and spectral occupancy on Gaussian noise models performance for multiband networks. In 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022 (pp. 240-245). IEEE. https://doi.org/10.1109/CSNDSP54353.2022.9907947
ISBN: 978-1-6654-1044-1
DOI (Digital Object Identifier): 10.1109/CSNDSP54353.2022.9907947
Resumo: In a network scenario, wavelength division multiplexing channels are added and dropped leading to fluctuations on the network traffic loads along the optical path. In this work, a comparison between the optical signal-to-noise ratio (OSNR) predictions of the recently proposed closed-form generalized Gaussian noise (GGN) model and a closed-form Gaussian noise (GN) model that does not take into account the stimulated Raman scattering (SRS) is performed, for different network traffic loads and spectral occupancy over the entire C+L band. In all results obtained, the maximum difference between the OSNR predictions of GN (without SRS) and GGN models closed forms is below 0.7 dB at optimum OSNR and maximum C+L band occupancy, indicating that the GN-model can also be used in C+L band transmission. For channel launch powers higher than the optimum, the OSNR differences increase up to 3 dB, being the GN-model (without SRS) unsuitable to assess the network performance in such situations.
Arbitragem científica: yes
Acesso: Acesso Aberto
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