Research output: Contribution to journal › Review article › peer-review
Nonlinear fourier transform for optical data processing and transmission: Advances and perspectives. / Turitsyn, Sergei K.; Prilepsky, Jaroslaw E.; Le, Son Thai et al.
In: Optica, Vol. 4, No. 3, 20.03.2017, p. 307-322.Research output: Contribution to journal › Review article › peer-review
}
TY - JOUR
T1 - Nonlinear fourier transform for optical data processing and transmission: Advances and perspectives
AU - Turitsyn, Sergei K.
AU - Prilepsky, Jaroslaw E.
AU - Le, Son Thai
AU - Wahls, Sander
AU - Frumin, Leonid L.
AU - Kamalian, Morteza
AU - Derevyanko, Stanislav A.
N1 - Funding Information: Engineering and Physical Sciences Research Council (EPSRC) (UNLOC EP/J017582/1); European Research Council (ERC); Ministry of Education and Science of the Russian Federation (Minobrnauka) (14.B25.31.0003). Publisher Copyright: © 2017 Optical Society of America.
PY - 2017/3/20
Y1 - 2017/3/20
N2 - Fiber-optic communication systems are nowadays facing serious challenges due to the fast growing demand on capacity from various new applications and services. It is now well recognized that nonlinear effects limit the spectral efficiency and transmission reach of modern fiber-optic communications. Nonlinearity compensation is therefore widely believed to be of paramount importance for increasing the capacity of future optical networks. Recently, there has been steadily growing interest in the application of a powerful mathematical tool-the nonlinear Fourier transform (NFT)-in the development of fundamentally novel nonlinearity mitigation tools for fiber-optic channels. It has been recognized that, within this paradigm, the nonlinear crosstalk due to the Kerr effect is effectively absent, and fiber nonlinearity due to the Kerr effect can enter as a constructive element rather than a degrading factor. The novelty and the mathematical complexity of the NFT, the versatility of the proposed system designs, and the lack of a unified vision of an optimal NFT-type communication system, however, constitute significant difficulties for communication researchers. In this paper, we therefore survey the existing approaches in a common framework and review the progress in this area with a focus on practical implementation aspects. First, an overview of existing key algorithms for the efficacious computation of the direct and inverse NFT is given, and the issues of accuracy and numerical complexity are elucidated. We then describe different approaches for the utilization of the NFT in practical transmission schemes. After that we discuss the differences, advantages, and challenges of various recently emerged system designs employing the NFT, as well as the spectral efficiency estimates available up-to-date. With many practical implementation aspects still being open, our mini-review is aimed at helping researchers assess the perspectives, understand the bottlenecks, and envision the development paths in the upcoming NFT-based transmission technologies.
AB - Fiber-optic communication systems are nowadays facing serious challenges due to the fast growing demand on capacity from various new applications and services. It is now well recognized that nonlinear effects limit the spectral efficiency and transmission reach of modern fiber-optic communications. Nonlinearity compensation is therefore widely believed to be of paramount importance for increasing the capacity of future optical networks. Recently, there has been steadily growing interest in the application of a powerful mathematical tool-the nonlinear Fourier transform (NFT)-in the development of fundamentally novel nonlinearity mitigation tools for fiber-optic channels. It has been recognized that, within this paradigm, the nonlinear crosstalk due to the Kerr effect is effectively absent, and fiber nonlinearity due to the Kerr effect can enter as a constructive element rather than a degrading factor. The novelty and the mathematical complexity of the NFT, the versatility of the proposed system designs, and the lack of a unified vision of an optimal NFT-type communication system, however, constitute significant difficulties for communication researchers. In this paper, we therefore survey the existing approaches in a common framework and review the progress in this area with a focus on practical implementation aspects. First, an overview of existing key algorithms for the efficacious computation of the direct and inverse NFT is given, and the issues of accuracy and numerical complexity are elucidated. We then describe different approaches for the utilization of the NFT in practical transmission schemes. After that we discuss the differences, advantages, and challenges of various recently emerged system designs employing the NFT, as well as the spectral efficiency estimates available up-to-date. With many practical implementation aspects still being open, our mini-review is aimed at helping researchers assess the perspectives, understand the bottlenecks, and envision the development paths in the upcoming NFT-based transmission technologies.
KW - Coherent communications
KW - Fiber optics communications
KW - Inverse scattering
KW - Nonlinear optical signal processing
KW - DESIGN
KW - SELF-MODULATION
KW - DISPERSION
KW - QUASI-LOSSLESS
KW - INVERSE SCATTERING ALGORITHM
KW - PULSE-PROPAGATION
KW - WAVE-GUIDE FILTERS
KW - FIBEROPTIC COMMUNICATIONS
KW - EFFICIENT NUMERICAL-METHOD
KW - SOLITON
UR - http://www.scopus.com/inward/record.url?scp=85015915204&partnerID=8YFLogxK
U2 - 10.1364/OPTICA.4.000307
DO - 10.1364/OPTICA.4.000307
M3 - Review article
AN - SCOPUS:85015915204
VL - 4
SP - 307
EP - 322
JO - Optica
JF - Optica
SN - 2334-2536
IS - 3
ER -
ID: 9087478