Overcoming performance limitations of digital back propagation due to polarization mode dispersion

Goroshko, Kseniia; Louchet, Hadrien; Richter, André

doi:10.1109/icton.2016.7550257

Cited by 13 publications

(16 citation statements)

References 12 publications

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“…Judging by the step-wise evolution of the DGD in the backward direction, our approach seems to be similar to the one proposed in [21]. However, the two methods are different.…”

Section: Proposed Algorithmmentioning

confidence: 66%

“…The algorithm has been proved to work with PMD information obtained from the blind MMA equalizer and provides SNR gains over an ample range of different transmission setups. Interesting directions for future research include performance characterization in the presence of a time-varying PMD, as well as a comprehensive study including [21,22] to investigate which of the three methods offers the best performance for various simulation setups and channel conditions.…”

Section: Discussionmentioning

confidence: 99%

“…However, the two methods are different. Opposed to [21], where in the backward propagation J s k ( f ) is a diagonal matrix modeling a DGD element applied at the same PSP along the entire link, our approach changes the PSPs with every J s k ( f ) in the backward direction.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…Recently, a modified DBP algorithm that takes into account PMD was proposed in [21], where an appropriate amount of differential group delay (DGD) is introduced at the link principal states of polarization (PSP) after each span in the reverse propagation, such that the accumulation of DGD in the forward propagation is reversed. In [22], we recently proposed a modified DBP method that reverses the PMD effects in the backward propagation by passing the reverse propagated signal through PMD sections.…”

Section: Introductionmentioning

confidence: 99%

“…In [22], we recently proposed a modified DBP method that reverses the PMD effects in the backward propagation by passing the reverse propagated signal through PMD sections. Unlike [21], where the DGD is subtracted along the same PSP every time in the backward propagation, in [22] the PSPs of the backward PMD sections are different and aligned using an optimization algorithm such that the Jones matrix modeling the total backward PMD equals the inverse of the Jones matrix modeling the PMD occurring in the forward propagation.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Digital backpropagation accounting for polarization-mode dispersion

et al. 2017

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Digital backpropagation (DBP) is a promising digital-domain technique to mitigate Kerr-induced nonlinear interference. While it successfully removes deterministic signal-signal interactions, the performance of ideal DBP is limited by stochastic effects, such as polarization-mode dispersion (PMD). In this paper, we consider an ideal full-field DBP implementation and modify it to additionally account for PMD; reversing the PMD effects in the backward propagation by passing the reverse propagated signal also through PMD sections, which concatenated equal the inverse of the PMD in the forward propagation. These PMD sections are calculated analytically at the receiver based on the total accumulated PMD of the link estimated from channel equalizers. Numerical simulations show that, accounting for nonlinear polarization-related interactions in the modified DBP algorithm, additional signal-to-noise ratio gains of 1.1 dB are obtained for transmission over 1000 km.

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“…Judging by the step-wise evolution of the DGD in the backward direction, our approach seems to be similar to the one proposed in [21]. However, the two methods are different.…”

Section: Proposed Algorithmmentioning

confidence: 66%

Section: Discussionmentioning

confidence: 99%

Section: Proposed Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Digital backpropagation accounting for polarization-mode dispersion

et al. 2017

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Machine learning opportunities for integrated polarization sensing and communication in optical fibers

Rode,

Farsi,

Lauinger

et al. 2025

Optical Fiber Technology

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Overcoming degradation in spatial multiplexing systems with stochastic nonlinear impairments

Ferreira

Costa

Sygletos

et al. 2018

Sci Rep

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Single-mode optical fibres now underpin telecommunication systems and have allowed continuous increases in traffic volume and bandwidth demand whilst simultaneously reducing cost- and energy-per-bit over the last 40 years. However, it is now recognised that such systems are rapidly approaching the limits imposed by the nonlinear Kerr effect. To address this, recent research has been carried out into mitigating Kerr nonlinearities to increase the nonlinear threshold and into spatial multiplexing to offer additional spatial pathways. However, given the complexity associated with nonlinear transmission in spatial multiplexed systems subject to random inter-spatial-path nonlinearities it is widely believed that these technologies are mutually exclusive. By investigating the linear and nonlinear crosstalk in few-mode fibres based optical communications, we numerically demonstrate, for the first time, that even in the presence of significant random mixing of signals, substantial performance benefits are possible. To achieve this, the impact of linear mixing on the Kerr nonlinearities should be taken into account using different compensation strategies for different linear mixing regimes. For the optical communication systems studied, we demonstrate that the performance may be more than doubled with the appropriate selection of compensation method for fibre characteristics which match those presented in the literature.

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Overcoming performance limitations of digital back propagation due to polarization mode dispersion

Cited by 13 publications

References 12 publications

Digital backpropagation accounting for polarization-mode dispersion

Digital backpropagation accounting for polarization-mode dispersion

Machine learning opportunities for integrated polarization sensing and communication in optical fibers

Overcoming degradation in spatial multiplexing systems with stochastic nonlinear impairments

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