Probabilistic spectrum Gaussian noise estimate for random bandwidth traffic
Paper in proceeding, 2019

A probabilistic spectrum Gaussian noise (PSGN) model is proposed to predict the nonlinear noise for random bandwidth traffic in long-haul elastic optical networks. The model reduces the noise estimate 9.1% on average compared to the standard Gaussian noise model applied to the maximum bandwidth.

Gaussian noise model

physical layer impairments

random bandwidth traffic

Elastic optical networks


Yuxin Xu

University of Virginia

Erik Agrell

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Maite Brandt Pearce

University of Virginia

IET Conference Publications

9781839530074 (ISBN)

45th European Conference on Optical Communication
Dublin, Ireland,

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