Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
2024-10-01
In this paper, we skillfully utilize the discriminative ability of the discriminator to construct a conditional generative adversarial network, and propose a scheme that uses few symbols to achieve high accuracy recognition of modulation formats under low signal-to-noise ratio conditions in coherent optical communication. In the one thousand kilometres G.654E optical fiber transmission system, transmission experiments are conducted on the PDM-QPSK/-8PSK/-16QAM/-32QAM/-64QAM modulation format at 8G/16G/32G baud rates, and the signal-to-noise ratio parameters are traversed under experimental conditions. As a key technology in the next-generation elastic optical networks, the modulation format recognition scheme proposed in this paper achieves 100% recognition of the above five modulation formats without distinguishing signal transmission rates. The optical signal-to-noise ratio thresholds required to achieve 100% recognition accuracy are 12.4 dB, 14.3 dB, 15.4 dB, 16.2 dB, and 17.3 dB, respectively.
This work is supported by the National Key R&D Program of China (2023YFB2905800), the National Natural Science Foundation of China (62021005), and the National Scholarship for International Students.
Peer Reviewed
Objectius de Desenvolupament Sostenible::3 - Salut i Benestar
Objectius de Desenvolupament Sostenible::4 - Educació de Qualitat
Objectius de Desenvolupament Sostenible::5 - Igualtat de Gènere
Objectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement Econòmic
Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura
Objectius de Desenvolupament Sostenible::10 - Reducció de les Desigualtats
Postprint (published version)
Article
Anglès
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica; Modulation format identification; Automatic modulation recognition; Generative adversarial network; Conditional generative adversarial network; Discriminant network; Coherent optical communication; Digital signal processing
https://www.mdpi.com/2079-9292/13/19/3833
http://creativecommons.org/licenses/by/4.0/
Open Access
Attribution 4.0 International
E-prints [72986]