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Esther Le Rouzic

Researcher at Orange S.A.

Publications -  81
Citations -  756

Esther Le Rouzic is an academic researcher from Orange S.A.. The author has contributed to research in topics: Optical burst switching & Optical performance monitoring. The author has an hindex of 13, co-authored 77 publications receiving 600 citations.

Papers
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Journal ArticleDOI

Optimal cost and performance evaluation of various protection schemes for a reliable all-optical subwavelength switching network

TL;DR: The obtained results show that the totally shared protection scheme outperforms the other schemes in terms of resource utilization with nonsignificant degradation of the performance and a prompt recovery time.
Patent

Optical signal comprising a succession of multi-band bursts of multi-carrier data signals, system and method of emission of such a signal, and corresponding optical transport network

TL;DR: In this article, a system for sending data in an optical network comprising source nodes ( 1 - 1, 1 - 2, 1- 3, 1 4, 1 5, 1 6, 1 7, 1 8, 1 9, 1 10, 1 11 - 13, 21 - 23, 31 - 33, 41 - 43, 51 - 53 ) is described.
Patent

Signal optique comprenant une succession de rafales multi-bandes de signaux multi-porteuses de donnees, systeme et procede d'emission d'un tel signal, et reseau de transport optique correspondant.

TL;DR: In this article, the authors define a systeme d'emission de donnees dans un reseau optique comprend : - des nœuds sources (1-1, 1-2, 1 3, 1 4, 1 5), aptes a generer chacun, dans a bande spectrale which lui est associee, obtenu par modulation d'un signal source a longueur d'onde source distinctes, and emettre ce signal sous forme de rafales de
Proceedings Article

GNPy: Lessons Learned and Future Plans [Invited]

TL;DR: The GNPy project as discussed by the authors is an open source project for simulating physical impairments in contemporary DWDM networks, where the authors describe the unique interaction among network operators, equipment vendors and standard bodies, as well as challenges in implementing the digital twin of an optical network.

Bayesian Optimization-Based Algorithm to Improve the Quality of Transmission Estimation

TL;DR: In this article, a Bayesian Optimization-based algorithm is proposed to assess the optical parameters that are taken as input by the QoT computation tool, which reduces the error in computed OSNR down to 0.07dB.