Precise modelling of four wave mixing products over 400 km of step-index fibre

Cleland, D.A.; Ellis, A.D.; Sturrock, C.H.F.

doi:10.1049/el:19920739

Cited by 16 publications

(12 citation statements)

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“…Figure (3) shows the maximum SNR for the central channel as a function of the predispersion which closely matches the predictions of Eq. (16). The results show also that even adding a pre-dispersion less than the optimum value still improves the system performance.…”

Section: Simulation Results and Discussionmentioning

confidence: 81%

“…Three systems were investigated: without OPC (red squares), with OPC in the middle of the link (purple diamonds), and with OPC and pre-dispersion (green circles) before the OPC with the optimum accumulated dispersion (1256 ps/nm) calculated from Eq. (16). Theoretical results using Eq.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…∆β is the phase mismatch and G is the EDFA field gain. U (m,m) g will linearly propagate to the middle of the link (non-depletion approximation [15], [16]) through N 2 − m spans and then through the DCE. Following that, U…”

Section: Theoretical Analysismentioning

confidence: 99%

“…Where ∆β 1 is the equivalent phase mismatch for the DCE. By summing the FWM fields from all the spans at the end of the link [16] and considering the last amplifier, the total FWM field from all the spans U (t) g can be written as,…”

Section: Theoretical Analysismentioning

confidence: 99%

See 3 more Smart Citations

An Expression for Nonlinear Noise in Optical Phase Conjugation Systems With Lumped Amplifiers

Ali

Costa

Al-Khateeb

et al. 2018

IEEE Photon. Technol. Lett.

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We develop an analytical formula for evaluating the impact of fiber nonlinearity in systems employing optical phase conjugation with multi-span lumped amplification, highlighting the detailed balance of effects leading to compensation when the phase conjugator is added to the middle of the link. We apply the approach to the effect of adding a pre-dispersion element to improve the symmetry, deriving the required optimum predispersion. The closed-form is validated through simulation and shows good matching with the results within a margin of error less than 0.2 dB.

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Section: Simulation Results and Discussionmentioning

confidence: 81%

Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Theoretical Analysismentioning

confidence: 99%

Section: Theoretical Analysismentioning

confidence: 99%

See 2 more Smart Citations

An Expression for Nonlinear Noise in Optical Phase Conjugation Systems With Lumped Amplifiers

Ali

Costa

Al-Khateeb

et al. 2018

IEEE Photon. Technol. Lett.

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show abstract

“…D g represents the degeneracy factor and equal to 3 if f 1 = f 2 and 6 if f 1 = f 2 . Setting L 1 = 0 gives the FWM power for a conventional OPC system [6], and setting k 2 = 1 4 (1 − e −αL ) 2 + e −αL sin 2 ( ∆βL 2 ) and N = (2N ) provides the FWM power for a system without OPC [7]. The impact of pre-dispersion is expressed through the symmetry efficiency κ, and is minimized for each combination of signal frequencies for a certain value of ∆β 1 L 1 .…”

Section: Four-wave Mixing In Pre-dispersed Opc Systemmentioning

confidence: 99%

Four-wave mixing in optical phase conjugation system with pre-dispersion

Ali

Costa

Al-Khateeb

et al. 2017

2017 Opto-Electronics and Communications Conference (OECC) and Photonics Global Conference (PGC)

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We mathematically analyze Kerr-induced fiber nonlinearity in an optical communication system using mid-link optical phase conjugation and pre-dispersion. The derived analytical expressions are used to describe the system performance and show great matching with simulations. Furthermore, based on these expressions, we predict the performance of a transmission system and prove a 3dB improvement in Q-factor compared to the OPC system without pre-dispersion.

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Optical Information Capacity Processing

Sorokina

Ellis

Turitsyn

2015

Springer Series in Optical Sciences

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The never-stopping increase in demand for information transmission capacity has been met with technological advances in telecommunication systems, such as the implementation of coherent optical systems, advanced multilevel multidimensional modulation formats, fast signal processing, and research into new physical media for signal transmission (e.g. a variety of new types of optical fibers). Since the increase in the signal-to-noise ratio makes fiber communication channels essentially nonlinear (due to the Kerr effect for example), the problem of estimating the Shannon capacity for nonlinear communication channels is not only conceptually interesting, but also practically important. Here we discuss various nonlinear communication channels and review the potential of different optical signal coding, transmission and processing techniques to improve fiber-optic Shannon capacity and to increase the system reach. Introduction: Information Capacity in Optical CommunicationsThe capacity of global and local communication systems has increased dramatically over past decades, with recent laboratory experiments approaching the order of Pbits/s data rates. However, the data demands rise with time at an even higher rate at the moment calling for new technology advances. The efficiency of current transmission systems are limited by a number of physical effects, with optical noise and nonlinearity being the major challenges [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. It is well recognized nowadays that current fiber-optic communication systems and technologies are facing very specific hurdles due to the nonlinear properties of optical fiber channels, problems not existing in wireless and other linear channels. In optical fiber, the dominant

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Precise modelling of four wave mixing products over 400 km of step-index fibre

Cited by 16 publications

References 0 publications

An Expression for Nonlinear Noise in Optical Phase Conjugation Systems With Lumped Amplifiers

An Expression for Nonlinear Noise in Optical Phase Conjugation Systems With Lumped Amplifiers

Four-wave mixing in optical phase conjugation system with pre-dispersion

Optical Information Capacity Processing

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