Link-Level Resource Allocation for Flexible-Grid Nonlinear Fiber-Optic Communication Systems
Journal article, 2015

Resource allocation for transport optical networks has traditionally used a transmission reach constraint to estimate physical impairments. For flexible-grid networks, nonlinear impairments are not sufficiently well characterized by the transmission reach since various modulations and bandwidths can coexist on the same link. We propose a resource allocation algorithm for a single flexible-grid fiber link based on a nonlinear signal distortion model, as a first step towards whole-network design. An optimization problem is formulated to provide a close-to-optimal resource allocation that guarantees the quality of transmission for every channel. Compared with a simpler algorithm based on transmission reach, our proposed algorithm shows the potential of bandwidth savings. It is demonstrated to be insensitive to channel ordering.

Resource allocation

nonlinear channel

Author

Li Yan

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Erik Agrell

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Henk Wymeersch

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Pontus Johannisson

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Rocco Di Taranto

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Maite Brandt-Pearce

University of Virginia

IEEE Photonics Technology Letters

1041-1135 (ISSN)

Vol. 27 12 1250-1253 7064696

Channel Models and Communications Methods for Location-Aware Communication

Swedish Research Council (VR), 2012-01-01 -- 2013-12-31.

Adaptive optical networks: Theory and algorithms for system optimization

Swedish Research Council (VR), 2013-01-01 -- 2016-12-31.

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

DOI

10.1109/LPT.2015.2415586

More information

Latest update

3/29/2018