New bounds on the capacity of the nonlinear fiber-optic channel

Dar, Ronen; Shtaif, Mark; Feder, Meir

doi:10.1364/ol.39.000398

Cited by 75 publications

(64 citation statements)

References 9 publications

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“…When employing conventional detection strategies optimized for a linear channel, the AIR with Gaussian input symbols increases with power, reaches a maximum, and then decreases to zero. The AIR can be slightly increased by means of improved detection strategies [88,89]; and its maximum can be used to derive a nondecreasing capacity lower bound [90]. However, while such a lower bound saturates to a finite value, the tighter known upper bound increases indefinitely with power as the capacity of the AWGN channel [91], which leaves open the question of whether and when we will experience a capacity crunch due to fiber nonlinearity.…”

Section: Statusmentioning

confidence: 99%

Roadmap of optical communications

Agrell

Karlsson

Chraplyvy³

et al. 2016

J. Opt.

446

268

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Lightwave communications is a necessity for the information age. Optical links provide enormous bandwidth, and the optical fiber is the only medium that can meet the modern society's needs for transporting massive amounts of data over long distances. Applications range from global highcapacity networks, which constitute the backbone of the internet, to the massively parallel interconnects that provide data connectivity inside datacenters and supercomputers. Optical communications is a diverse and rapidly changing field, where experts in photonics, communications, electronics, and signal processing work side by side to meet the ever-increasing demands for higher capacity, lower cost, and lower energy consumption, while adapting the system design to novel services and technologies. Due to the interdisciplinary nature of this rich research field, Journal of Optics has invited 16 researchers, each a world-leading expert in their respective subfields, to contribute a section to this invited review article, summarizing their views on state-of-the-art and future developments in optical communications.

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Section: Statusmentioning

confidence: 99%

Roadmap of optical communications

Agrell

Karlsson

Chraplyvy³

et al. 2016

J. Opt.

446

268

View full text Add to dashboard Cite

show abstract

“…The dimensionality of the optimization problem is thus reduced to 1, however, the dimensionality of the MI estimation problem is still governed by the cardinality |B| = |X | M +1 of the branches in the receiver. Observe that this type of constraint contains the ball-shaped input from [15], [16] as a special case, since for large |λ M B |, most of the mass of the constellation is concentrated on a single amplitude in the multi-dimensional space (the points with largest amplitude for λ < 0 and the points with lowest amplitude for λ > 0) . When |X | → ∞ and |λ M B | is large, the constellation is a multi-dimensional sphere.…”

Section: Maxwell-boltzmann Distributionmentioning

confidence: 99%

Temporal Probabilistic Shaping for Mitigation of Nonlinearities in Optical Fiber Systems

Yankov

Larsen

Forchhammer

2017

J. Lightwave Technol.

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Abstract-In this paper, finite state machine sources (FSMSs) are used to shape quadrature amplitude modulation (QAM) for nonlinear transmission in optical fiber communication systems. The previous optimization algorithm for FSMSs is extended to cover an average power constraint, thus enabling temporal optimization with multi-amplitude constellations output, such as QAM. The optimized source results in increased received SNR and thereby increased achievable information rates (AIR)s under memoryless assumption. The AIR is increased even further when taking the channel and transmitter memory into account via trellis processing at the receiver. Significant gains are reported in the highly nonlinear region of transmission for an FSMS of up to second order and 16QAM and particularly for unrepeated transmission. At the optimal launch power of WDM transmission, the FSMS order needs to be increased further in order to notably outperform previous probabilistic shaping schemes.

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“…The gains of such methods are therefore limited to the above mentioned scenarios, where the autocorrelation function (ACF) of the NLPN is long enough to allow for such tracking. Frequency domain equalization is used in [5], while time-domain sliding window averaging is used in [6]. A more sophisticated trellis-based method was used in [7], which allows for increasing the optimal launch power and thereby the achievable information rate (AIR) by around 5-10%.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Phase Noise Compensation in Experimental WDM Systems With 256QAM

Yankov

Ros

Silva

et al. 2017

J. Lightwave Technol.

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Abstract-Nonlinear phase noise (NLPN) is studied in an experimental wavelength division multiplexed (WDM) system operating at 256QAM. Extremely narrow linewidth lasers (<1 kHz) at the transmitter and the receiver allow for extracting the phase part of the nonlinear noise in a Raman amplified link. Based on the experimental data, the autocorrelation function of the NLPN is estimated and it matches the theoretical predictions. Several algorithms are examined as candidates for tracking and compensating the NLPN. It is shown that algorithms which exploit the distribution of the NLPN achieve higher gains than standard methods, which only exploit the correlation properties. Up to 300 km reach increase is achieved for a 5x10 GBaud WDM system with base distance of up to 1600 km. The gains are comparable to the gains of single channel digital back-propagation, with even further improvements from the combination of both techniques.

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New bounds on the capacity of the nonlinear fiber-optic channel

Cited by 75 publications

References 9 publications

Roadmap of optical communications

Roadmap of optical communications

Temporal Probabilistic Shaping for Mitigation of Nonlinearities in Optical Fiber Systems

Nonlinear Phase Noise Compensation in Experimental WDM Systems With 256QAM

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