Applying cognitive dynamic learning strategies for margins reduction in operational optical networks
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hdl:2117/330265
Document typeArticle
Defense date2020-09-01
Rights accessRestricted access - publisher's policy
(embargoed until 2022-07-29)
Abstract
Today's optical transport networks are complex already and the support of the new arising services will further increase such complexity. Traditional deterministic network procedures will need to be revisited, especially their operations. Network Operators will require more dynamic approaches to get the best out of their infrastructure. In this context, cognition and machine learning techniques can provide innovative management solutions for traditional telecom operators. In this paper, we explore a dynamic cognitive approach to improve the adaption of Network Operators' operational processes to the new digital age. We propose a dynamic strategy considering the Case-Base Reasoning (CBR) technique for helping to reduce overall costs by optimizing operation margins. In this way, highly competitive exploitation methods to support new services can be deployed. The proposed dynamic algorithms can achieve higher transmitted power efficiency, up to 20% versus previously proposed static solutions, prolonging the transceivers' lifetime and thus addressing telco operator costs reduction.
Description
© <2020>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
CitationNotivol, L. [et al.]. Applying cognitive dynamic learning strategies for margins reduction in operational optical networks. "Optical switching and networking", 1 Setembre 2020, vol. 38, p. 100585:1-10585:11.
ISSN1573-4277
Collections
- Departament d'Arquitectura de Computadors - Articles de revista [791]
- Departament de Teoria del Senyal i Comunicacions - Articles de revista [2.185]
- GCO - Grup de Comunicacions Òptiques - Articles de revista [191]
- Doctorat en Teoria del Senyal i Comunicacions - Articles de revista [82]
- CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla - Articles de revista [107]
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