Abstract

A low-complexity model for signal quality prediction in a nonlinear fiber-optic network is developed. The model, which builds on the Gaussian noise model, takes into account the signal degradation caused by a combination of chromatic dispersion, nonlinear signal distortion, and amplifier noise. The center frequencies, bandwidths, and transmit powers can be chosen independently for each channel, which makes the model suitable for analysis and optimization of resource allocation and routing in large-scale optical networks applying flexible-grid wavelength-division multiplexing.

© 2014 IEEE

Resource Allocation for Flexible-Grid Optical Networks With Nonlinear Channel Model [Invited]

Li Yan, Erik Agrell, Henk Wymeersch, and Maïté Brandt-Pearce
J. Opt. Commun. Netw. 7(11) B101-B108 (2015)

Modeling and mitigation of fiber nonlinearity in wideband optical signal transmission [Invited]

Daniel Semrau, Eric Sillekens, Polina Bayvel, and Robert I. Killey
J. Opt. Commun. Netw. 12(6) C68-C76 (2020)

Load-Aware Nonlinearity Estimation for Elastic Optical Network Resource Optimization and Management

Rui Wang, Sarvesh Bidkar, Fanchao Meng, Reza Nejabati, and Dimitra Simeonidou
J. Opt. Commun. Netw. 11(5) 164-178 (2019)

Fast Analytical Evaluation of Fiber Nonlinear Noise Variance in Mesh Optical Networks

Fangyuan Zhang, Qunbi Zhuge, and David V. Plant
J. Opt. Commun. Netw. 9(4) C88-C97 (2017)

Physical-layer impairment estimation for arbitrary spectral-shaped signals in optical networks

Yuxin Xu and Maite Brandt-Pearce
Opt. Express 30(10) 17351-17360 (2022)