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
Author
Yuxin Xu
University of Virginia
Erik Agrell
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Maite Brandt Pearce
University of Virginia
IET Conference Publications
Vol. 2019
9781839530074 (ISBN)
45th European Conference on Optical Communication
Dublin, Ireland,
Dublin, Ireland,
Subject Categories
Telecommunications
DOI
10.1049/cp.2019.0895