Journal article · Ahead of Print article · Preprint article
Dual-polarization NFDM transmission with continuous and discrete spectral modulation
Machine Learning in Photonic Systems, Department of Photonics Engineering, Technical University of Denmark1
Centre of Excellence for Silicon Photonics for Optical Communications, Centers, Technical University of Denmark2
Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark3
Department of Photonics Engineering, Technical University of Denmark4
Sant'Anna School of Advanced Studies5
Metro-Access and Short Range Systems, Department of Photonics Engineering, Technical University of Denmark6
Nonlinear distortion experienced by signals during their propagation through optical fibers strongly limits the throughput of optical communication systems. Recently, a strong research focus has been dedicated to nonlinearity mitigation and compensation techniques. At the same time, a more disruptive approach, the nonlinear Fourier transform (NFT), aims at designing signaling schemes more suited to the nonlinear fiber channel.
In a short period, impressive results have been reported by modulating either the continuous spectrum or the discrete spectrum. Additionally, very recent works further introduced the opportunity to modulate both spectra for single polarization transmission. Here, we extend the joint modulation scheme to dual-polarization transmission by introducing the framework to construct a dual-polarization optical signal with the desired continuous and discrete spectra.
After a brief analysis of the numerical algorithms used to implement the proposed scheme, the first experimental demonstration of dual-polarization joint nonlinear frequency division multiplexing (NFDM) modulation is reported for up to 3200 km of low-loss transmission fiber. The proposed dual-polarization joint modulation schemes enables to exploit all the degrees of freedom for modulation (both polarizations and both spectra) provided by a single-mode fiber (SMF).
Language: | English |
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Publisher: | IEEE |
Year: | 2019 |
Pages: | 2335-2343 |
ISSN: | 15582213 and 07338724 |
Types: | Journal article , Ahead of Print article and Preprint article |
DOI: | 10.1109/JLT.2019.2904102 |
ORCIDs: | Da Ros, Francesco , Gaiarin, Simone , Porto da Silva, Edson , Zibar, Darko , 0000-0002-3571-202X , 0000-0003-3262-2982 and 0000-0001-5883-5850 |