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Autonomous and energy efficient lightpath operation based on digital subcarrier multiplexing
dc.contributor.author | Velasco Esteban, Luis Domingo |
dc.contributor.author | Barzegar, Sima |
dc.contributor.author | Sequeira, Diogo Gonçalo |
dc.contributor.author | Ferrari, Alessio |
dc.contributor.author | Costa, Nelson |
dc.contributor.author | Curri, Vittorio |
dc.contributor.author | Pedro, João |
dc.contributor.author | Napoli, Antonio |
dc.contributor.author | Ruiz Ramírez, Marc |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors |
dc.date.accessioned | 2021-05-10T13:29:05Z |
dc.date.available | 2021-05-10T13:29:05Z |
dc.date.issued | 2021-09 |
dc.identifier.citation | Velasco, L. [et al.]. Autonomous and energy efficient lightpath operation based on digital subcarrier multiplexing. "IEEE journal on selected areas in communications", Setembre 2021, vol. 39, núm. 9, p. 2864-2877. |
dc.identifier.issn | 0733-8716 |
dc.identifier.uri | http://hdl.handle.net/2117/345377 |
dc.description.abstract | The massive deployment of 5G and beyond will require high capacity and low latency connectivity services, so network operators will have either to overprovision capacity in their transport networks or to upgrade the optical network controllers to make decisions nearly in real time; both solutions entail high capital and operational expenditures. A different approach could be to move the decision making toward the nodes and subsystems, so they can adapt dynamically the capacity to the actual needs and thus reduce operational costs in terms of energy consumption. To achieve this, several technological challenges need to be addressed. In this paper, we focus on the autonomous operation of Digital Subcarrier Multiplexing (DSCM) systems, which enable the transmission of multiple and independent subcarriers (SC). Herein, we present several solutions enabling the autonomous DSCM operation, including: i) SC quality of transmission estimation; ii) autonomous SC operation at the transmitter side and blind SC configuration recognition at the receiver side; and iii) intent-based capacity management implemented through Reinforcement Learning. We provide useful guidelines for the application of autonomous SC management supported by the extensive results presented. |
dc.description.sponsorship | The research leading to these results has received funding from the European Community's through the MSCA REAL-NET project (G.A. 813144), by the AEI/FEDER through the TWINS project (TEC2017-90097-R), and by the ICREA institution. |
dc.format.extent | 15 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica |
dc.subject.lcsh | Multiplexing |
dc.subject.lcsh | Decision-making |
dc.subject.lcsh | Telecommunication -- Traffic -- Management |
dc.subject.other | Network automation |
dc.subject.other | Digital subcarrier multiplexing |
dc.subject.other | Energy savings |
dc.subject.other | Intent-based networking |
dc.subject.other | Reinforcement learning |
dc.title | Autonomous and energy efficient lightpath operation based on digital subcarrier multiplexing |
dc.type | Article |
dc.subject.lemac | Multiplexatge |
dc.subject.lemac | Decisió, Presa de |
dc.subject.lemac | Telecomunicació -- Tràfic -- Gestió |
dc.contributor.group | Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques |
dc.identifier.doi | 10.1109/JSAC.2021.3064698 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9373418 |
dc.rights.access | Open Access |
local.identifier.drac | 31267825 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/813144/EU/REAL-time monitoring and mitigation of nonlinear effects in optical NETworks/REAL-NET |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-90097-R/ES/COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION/ |
local.citation.author | Velasco, L.; Barzegar, S.; Sequeira, D.; Ferrari, A.; Costa, N.; Curri, V.; Pedro, J.; Napoli, A.; Ruiz, M. |
local.citation.publicationName | IEEE journal on selected areas in communications |
local.citation.volume | 39 |
local.citation.number | 9 |
local.citation.startingPage | 2864 |
local.citation.endingPage | 2877 |
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