We derive the exact probability density function of the signal to noise ratio (SNR) impairment caused by polarization dependent loss (PDL) in coherent optical systems. Using the hinge model for PDL statistics, we construct a sequence of variable transformations that yields the expression of the SNR probability density function by means of a sequence of nested recursive integrals. Monte Carlo simulations validate the analytical formulation assuming realistic PDL levels and link configurations, showing excellent agreement. The model accurately captures SNR variability introduced by cascaded PDL elements and provides a foundation for statistical margin assessment, digital twin modeling, and quality of transmission estimation in flexible, low margin optical networks.
Exact PDL-induced SNR statistics in dual-polarization coherent optical communication systems / Miotto, Enrico; D'Amico, Andrea; Straullu, Stefano; Mano, Toru; Nishizawa, Hideki; Curri, Vittorio. - In: OPTICS EXPRESS. - ISSN 1094-4087. - 34:11(2026), pp. 19588-19600. [10.1364/OE.587873]
Exact PDL-induced SNR statistics in dual-polarization coherent optical communication systems
Enrico Miotto;Andrea D'Amico;Stefano Straullu;Vittorio Curri
2026
Abstract
We derive the exact probability density function of the signal to noise ratio (SNR) impairment caused by polarization dependent loss (PDL) in coherent optical systems. Using the hinge model for PDL statistics, we construct a sequence of variable transformations that yields the expression of the SNR probability density function by means of a sequence of nested recursive integrals. Monte Carlo simulations validate the analytical formulation assuming realistic PDL levels and link configurations, showing excellent agreement. The model accurately captures SNR variability introduced by cascaded PDL elements and provides a foundation for statistical margin assessment, digital twin modeling, and quality of transmission estimation in flexible, low margin optical networks.| File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3011098
