Capacity scaling of flexible optical networks with nonlinear impairment

Paper i proceeding, 2017

Efficient resource utilization with a satisfying quality of service is the key to high capacity in flexible optical networks. In our work, this is achieved by supporting the resource allocation with the Gaussian noise model, which estimates the nonlinear physical-layer impairments. The study includes variable launch power, modulation formats, error-correcting code rates, and various new network features to provision traffic requests efficiently. The advantageous performance of the flexible optical networks is demonstrated by simulation results.