Wavelength division multiplexed optical eigenvalue modulated system

Toyota, Akifumi; Maruta, Akihiro

doi:10.1109/tiwdc.2015.7323333

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…has been used by the Osaka group and co-authors [66][67][68][69][70][71][72]. Within this method the ZSP solution components v 1,2 are expanded in the Fourier series and the ZSP itself is reformulated as an eigenvalue problem in the Fourier space [43,45].…”

Section: Fourier Collocation Methodsmentioning

confidence: 99%

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Nonlinear Fourier transform for optical data processing and transmission: advances and perspectives

Turitsyn

Prilepsky

et al. 2017

Optica

321

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Fiber-optic communication systems are nowadays facing serious challenges due to fast growing demand on capacity from various new applications and services. It is now well recognised 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 a 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 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, and the efficiency estimation available up-to-date. With many practical implementation aspects still being open, our minireview is aimed at helping researchers to assess the perspectives, understand the bottle-necks, and envision the development paths in the upcoming of NFT-based transmission technologies.

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Section: Fourier Collocation Methodsmentioning

confidence: 99%

“…As a result, so far the NFTbased DBP approach was elaborated only for the soliton-free case [50,73]. For the third design, which is referred to as the "hybrid method", information is encoded in the time domain but the detection stage involves NFT operations and decision is made using NF spectrum data [62,63,66,67,70].…”

Section: Nft For Optical Communicationsmentioning

confidence: 99%

Nonlinear Fourier transform for optical data processing and transmission: advances and perspectives

Turitsyn

Prilepsky

et al. 2017

Optica

321

View full text Add to dashboard Cite

show abstract

“…However, it was observed that spectral broadening can be a limiting issue. In a number of other works general communication system designs, including the modulation on the norming constants, were studied [63][64][65][66][67][68][69][70]. Recently in [71], transmission of 6 bits/symbol at 24 Gbps over 1000 km of fibre was demonstrated by experiment using a single eigenvalue and its corresponding norming constant.…”

Section: Related Workmentioning

confidence: 99%

Variance normalizing transform for performance improvement in radio-over-fiber systems

Tavakkolnia

Safari

2016

2016 European Conference on Networks and Communications (EuCNC)

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Nonlinear Shannon Limit in Optical Fiber Transmission System

Maruta

2018

IEICE Trans. Commun.

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SUMMARYThe remaining issues in optical transmission technology are the degradation of optical signal to noise power ratio due to amplifier noise and the distortions due to optical nonlinear effects in a fiber. Therefore in addition to the Shannon limit, practical channel capacity is believed to be restricted by the nonlinear Shannon limit. The nonlinear Shannon limit has been derived under the assumption that the received signal points on the constellation map deviated by optical amplifier noise and nonlinear interference noise are symmetrically distributed around the ideal signal point and the sum of the noises are regarded as white Gaussian noise. The nonlinear Shannon limit is considered as a kind of theoretical limitation. However it is doubtful that its derivation process and applicable range have been understood well. In this paper, some fundamental papers on the nonlinear Shannon limit are reviewed to better understanding its meaning and applicable range. key words: optical fiber communication, nonlinear Shannon limit, Gaussian noise model, four wave mixing

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Wavelength division multiplexed optical eigenvalue modulated system

Cited by 3 publications

References 7 publications

Nonlinear Fourier transform for optical data processing and transmission: advances and perspectives

Nonlinear Fourier transform for optical data processing and transmission: advances and perspectives

Variance normalizing transform for performance improvement in radio-over-fiber systems

Nonlinear Shannon Limit in Optical Fiber Transmission System

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