Abstract

We study the effect of nonlinear coupling in a WDM configuration over a two-mode fiber. A statistical analysis is presented that takes into account the effect of the random phase-sensitive amplification or depletion. Our results show high nonlinear coupling between the modes. We have quantified the channel power fluctuations, due to the wave phase random variations, at the output of the fiber. We also investigate the effect of random linear mode coupling on the nonlinear mode coupling.

Highlights

  • The continuous growth of capacity demand might push the actual communication systems into a bandwidth bottleneck

  • In summary, we investigated the effects of linear and nonlinear coupling between signals launched on the LP01 and LP11 modes of a two mode fiber in a wavelength division multiplexing (WDM) scenario

  • After calculating the nonlinear coefficients of a few mode fiber, we verified that the strength of four wave mixing (FWM) is comparable with that of the linear coupling, in the initial stage of propagation

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Summary

Introduction

The continuous growth of capacity demand might push the actual communication systems into a bandwidth bottleneck. We focus the attention on the impact of FWM between channels and in particular, we present the effect due to the channel phases which must be considered as random variables This effect has been pointed out and studied in single mode fibers [24, 25] but, to the best of our knowledge, has not yet received attention in SDM. In this work, differently from [23], we will not consider the nonlinear noise (due to self-phase, cross-phase modulation and FWM) over a WDM system for long propagation distances in the strong coupling regime, but rather we will point out and quantify the specific cross-talk that occurs at the beginning of the propagation when the channel powers are large and FWM comparably efficient to weak linear coupling. The statistical analysis considering the linear coupling contribution reveals that modes generated by mode coupling have remarkably different output powers

Theoretical model
Analysis
Statistical analysis: effect of the channel phases
Conclusion
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