Quality of Transmission Aware Optical Networking Using Enhanced Gaussian Noise Model
Artikel i vetenskaplig tidskrift, 2019

We present a new joint routing, wavelength, and power allocation method for optical network planning. The introduced gradient-based convex optimization approach has a lower computational complexity, compared to common linear programming techniques, suitable for both static as well as time-critical dynamic network planning with fast convergence requirement. The proposed scheme takes physical-layer impairments into account, using the enhanced Gaussian noise nonlinear model. In contrast to methods exploiting the theoretical full link spectrum utilization assumption (fully occupied fiber-optic C-hand spectrum), we focus on maximizing the network achievable rate and minimum signal-to-noise ratio (SNR) margin of networks with partial spectrum utilization in their links, relevant to the majority of empirical metro network scenarios. According to numerical results, the network achievable rate can be improved around 17% by performing power optimization over the individual launch power of network lightpaths compared to optimizing a single flat (equal) launch power for all the lightpaths. Moreover, the minimum SNR margin of the simulated network is improved by about 23 dB. Finally, it is observed that maximizing the network minimum SNR margin needs the launch power of each lightpath to be proportional to the total nonlinear interference noise efficiency influencing the lightpath.

non-linear effects

Coherent transmission

routing and wavelength assignment

network planning

power allocation

enhanced Gaussian noise model

optical network optimization

Författare

Hami Rabbani

K. N. Toosi University of Technology

Lotfollah Beygi

K. N. Toosi University of Technology

Saeedeh Ghoshooni

K. N. Toosi University of Technology

Hamed Rabbani

Sina Innovat Commun Syst Corp

Erik Agrell

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Journal of Lightwave Technology

0733-8724 (ISSN)

Vol. 37 3 831-838

Ämneskategorier

Telekommunikation

Kommunikationssystem

DOI

10.1109/JLT.2018.2881607

Mer information

Senast uppdaterat

2019-08-18