Extending fibre nonlinear interference power modelling to account for general dual-polarisation 4d modulation formats

Gabriele Liga (Corresponding author), Astrid Barreiro, Hami Rabbani, Alex Alvarado

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20 Citaties (SciVal)

Samenvatting

In optical communications, four-dimensional (4D) modulation formats encode information onto the quadrature components of two arbitrary orthogonal states of polarisation of the optical field. Many analytical models available in the optical communication literature allow, within a first-order perturbation framework, the computation of the average power of the nonlinear interference (NLI) accumulated in coherent fibre-optic transmission systems. However, all such models only operate under the assumption of transmitted polarisation-multiplexed two-dimensional (PM-2D) modulation formats, which only represent a limited subset of the possible dual-polarisation 4D (DP-4D) formats. Namely, only those where data transmitted on each polarisation channel are mutually independent and identically distributed. This paper presents a step-by-step mathematical derivation of the extension of existing NLI models to the class of arbitrary DP-4D modulation formats. In particular, the methodology adopted follows the one of the popular enhanced Gaussian noise model, albeit dropping most assumptions on the geometry and statistic of the transmitted 4D modulation format. The resulting expressions show that, whilst in the PM-2D case the NLI power depends only on different statistical high-order moments of each polarisation component, for a general DP-4D constellation, several other cross-polarisation correlations also need to be taken into account.

Originele taal-2Engels
Artikelnummer1324
Aantal pagina's38
TijdschriftEntropy
Volume22
Nummer van het tijdschrift11
DOI's
StatusGepubliceerd - nov. 2020

Financiering

Funding: The work of G.L. is funded by the EuroTechPostdoc programme under the European Union’s Horizon 2020 research and innovation programme (Marie Skłodowska-Curie grant agreement No. 754462). This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 757791).

FinanciersFinanciernummer
Horizon 2020 Framework Programme757791
H2020 Marie Skłodowska-Curie Actions754462
European Research Council

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