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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Alves, T. M. F., Oliveira, L. & Cartaxo, A. V. T. (2024). Neural network-assisted self-coherent MCF systems impaired by ICXT and laser phase noise. In Francesco Prudenzano, Marian Marciniak (Ed.), ICTON 2024 Conference Proceedings. Bari: IEEE.
Exportar Referência (IEEE) 
T. M. Alves et al.,  "Neural network-assisted self-coherent MCF systems impaired by ICXT and laser phase noise", in ICTON 2024 Conf. Proc., Francesco Prudenzano, Marian Marciniak, Ed., Bari, IEEE, 2024
Exportar BibTeX 
@inproceedings{alves2024_1782638620194,
	author = "Alves, T. M. F. and Oliveira, L. and Cartaxo, A. V. T.",
	title = "Neural network-assisted self-coherent MCF systems impaired by ICXT and laser phase noise",
	booktitle = "ICTON 2024 Conference Proceedings",
	year = "2024",
	editor = "Francesco Prudenzano, Marian Marciniak",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICTON62926.2024.10647797",
	publisher = "IEEE",
	address = "Bari",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/10647797"
}
Exportar RIS 
TY  - CPAPER
TI  - Neural network-assisted self-coherent MCF systems impaired by ICXT and laser phase noise
T2  - ICTON 2024 Conference Proceedings
AU  - Alves, T. M. F.
AU  - Oliveira, L.
AU  - Cartaxo, A. V. T.
PY  - 2024
SN  - 2162-7339
DO  - 10.1109/ICTON62926.2024.10647797
CY  - Bari
UR  - https://ieeexplore.ieee.org/document/10647797
AB  - The performance of 64 Gbaud self-coherent MCF systems assisted by neural networks to mitigate the combined
effect of the intercore crosstalk (ICXT) and laser phase noise is assessed by numerical simulation. In particular,
the impact of the fast fluctuations of the phase noise on the training phase of the neural network and on the system
performance is discussed. For this, two different cases are analysed: one in which the phase noise inside the training
phase of the neural network is highly correlated with the phase noise of the transmission scenario, and the other in
which the phase noise of the training phase is weakly correlated with that one of the transmission scenario. This is
performed for a product between the intercore skew and the symbol rate much lower than one to avoid the need
for neural networks with memory. For the case with correlated phase noise, results show an outage probability
improvement from 36.5% to 14.5% after applying the neural network. With weakly correlated or uncorrelated
phase noise, the neural network is not able to mitigate the combined effect of the ICXT and laser phase noise and
no system improvement is observed. 
ER  -