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Congestion Aware Routing in Nonlinear Elastic Optical Networks

Savory, SJ; (2014) Congestion Aware Routing in Nonlinear Elastic Optical Networks. IEEE PHOTONICS TECHNOLOGY LETTERS , 26 (10) 1057 - 1060. 10.1109/LPT.2014.2314438. Green open access

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Abstract

In elastic optical networks, digital coherent transceivers modify their symbol rate, modulation format, and forward error correction to best serve the network demands. In a nonlinear elastic optical network, these parameters are inherently coupled with the routing algorithm. We propose to use congestion aware routing in a nonlinear elastic optical network and demonstrate its efficacy for the NSFNET reference network (14 nodes, 22 links). The network is sequentially loaded with 100 GbE demands until a demand becomes blocked, this procedure being repeated 10000 times to estimate the network blocking probability (NBP). Three routing algorithms are considered: 1) shortest path routing; 2) simple congestion aware algorithm; and 3) weighted congestion aware routing algorithm with 50, 25, 12.5, and 6.25 GHz resolution flexgrids. For NBP = 1% using a 50 GHz grid, congestion aware routing doubles the network capacity compared with the shortest path routing. When congestion aware routing is combined with a 6.25 GHz resolution flexgrid, a fivefold increase in network capacity is afforded.

Type: Article
Title: Congestion Aware Routing in Nonlinear Elastic Optical Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LPT.2014.2314438
Publisher version: http://dx.doi.org/10.1109/LPT.2014.2314438
Additional information: © 2014 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Keywords: Optical fiber communication, networks, routing, adaptive modulation, extreme value distributions
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
URI: https://discovery.ucl.ac.uk/id/eprint/1431930
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