Probabilistic spectrum Gaussian noise estimate for random bandwidth traffic
Paper i 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

Författare

Yuxin Xu

University of Virginia

Erik Agrell

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Maite Brandt Pearce

University of Virginia

IET Conference Publications

Vol. 2019
9781839530074 (ISBN)

45th European Conference on Optical Communication
Dublin, Ireland,

Ämneskategorier

Telekommunikation

DOI

10.1049/cp.2019.0895

Mer information

Senast uppdaterat

2024-07-17