Probabilistic spectrum Gaussian noise estimate for random bandwidth traffic
Paper in proceedings, 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.

random bandwidth traffic

Gaussian noise model

Elastic optical networks

physical layer impairments

Author

Yuxin Xu

University of Virginia

Erik Agrell

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Maite Brandt Pearce

University of Virginia

Proceedings of the 45th European Conference on Optical Communication

45th European Conference on Optical Communication
Dublin, Ireland,

Subject Categories

Telecommunications

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1/30/2020