Výsledky vyhledávání - "Sima Barzegar"

Akademický článek

Scenarios for Optical Encryption Using Quantum Keys

Autor: Luis Velasco, Morteza Ahmadian, Laura Ortiz, Juan P. Brito, Antonio Pastor, Jose M. Rivas, Sima Barzegar, Jaume Comellas, Vicente Martin, Marc Ruiz

Publikováno v: Sensors, Vol 24, Iss 20, p 6631 (2024)

Optical communications providing huge capacity and low latency remain vulnerable to a range of attacks. In consequence, encryption at the optical layer is needed to ensure secure data transmission. In our previous work, we proposed LightPath SECurity

Externí odkaz: https://doaj.org/article/02284fc8e7824833b495c9c2212de242

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Akademický článek

Packet Flow Capacity Autonomous Operation Based on Reinforcement Learning

Autor: Sima Barzegar, Marc Ruiz, Luis Velasco

Publikováno v: Sensors, Vol 21, Iss 24, p 8306 (2021)

As the dynamicity of the traffic increases, the need for self-network operation becomes more evident. One of the solutions that might bring cost savings to network operators is the dynamic capacity management of large packet flows, especially in the

Externí odkaz: https://doaj.org/article/c5d26e2538e04871ad77afe824078a68

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Distributed and Autonomous Flow Routing Based on Deep Reinforcement Learning

Autor: Sima Barzegar, Marc Ruiz, Luis Velasco

Publikováno v: 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC).

A DRL approach with a specific reward function is proposed for autonomous flow routing operating on multilayer scenarios. Illustrative results reveal that the DRL achieves optimal flow routing in terms of cost and service quality. © 2022 IEICE. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::969fe9e793330a4eb61a242a830ee4af
https://doi.org/10.23919/oecc/psc53152.2022.9850200

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Intent-based networking and its application to optical networks [invited tutorial]

Autor: Marc Ruiz, Fatemehsadat Tabatabaeimehr, Sima Barzegar, Luis Velasco

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

The intent-based networking (IBN) paradigm targets defining high-level abstractions so network operators can define what their desired outcomes are without specifying how they would be achieved. The latter can be achieved by leveraging network progra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03b9f2c78bbc67b3f91a4d9ba863dcbf
https://hdl.handle.net/2117/361160

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Soft-failure detection, localization, identification, and severity prediction by estimating QoT model input parameters

Autor: Antonio Napoli, Sima Barzegar, Filippo Cugini, Marc Ruiz, Andrea Sgambelluri, Luis Velasco

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

The performance of optical devices can degrade because of aging and external causes like, for example, temperature variations. Such degradation might start with a low impact on the Quality of Transmission (QoT) of the supported lightpaths (soft-failu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb5c2702669e2681776eeb473cafa9b
https://hdl.handle.net/2117/355647

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Autonomous and energy efficient lightpath operation based on digital subcarrier multiplexing

Autor: Marc Ruiz, Nelson Costa, Joao Pedro, Vittorio Curri, Sima Barzegar, Antonio Napoli, Alessio Ferrari, Luis Velasco, Diogo Gonçalo Sequeira

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
IEEE Journal on Selected Areas in Communications

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 mak

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0abcc7cbd3c56d5245393a4b6696aa21
https://hdl.handle.net/2117/345377

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Combining long-short term memory and reinforcement learning for improved autonomous network operation

Autor: Fatemehsadat Tabatabaeimehr, Luis Velasco, Sima Barzegar, Marc Ruiz

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Scopus-Elsevier
OFC

A combined LSTM and RL approach is proposed for dynamic connection capacity allocation. The LSTM predictor anticipates periodical long-term sharp traffic changes and extends short-term RL knowledge. Numerical results show remarkable performance. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56689e5f508d492d30f28f479c32dc53
http://hdl.handle.net/2117/359122

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Reliable and Accurate Autonomous Flow Operation based on Off-line Trained Reinforcement Learning

Autor: Luis Velasco, Marc Ruiz, Sima Barzegar

Publikováno v: OFC
Scopus-Elsevier
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

A RL agent trained offline for reliability and able to refine its policies during online operation is proposed. Results for three illustrative flow automation use cases show remarkable performance with extraordinary adaptability to changes. The resea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ff256cff1accaf082a6e95c29c320b
https://doi.org/10.1364/ofc.2021.f2g.1

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Soft-Failure Localization and Device Working Parameters Estimation in Disaggregated Scenarios

Autor: Sima Barzegar, Luis Velasco, Vittorio Curri, Antonio Napoli, Marc Ruiz, Alessio Ferrari, Emanuele Virgillito

Publikováno v: OFC
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Scopus-Elsevier

A soft-failure localization and key working parameters estimation system is proposed for network diagnosis and maintenance. We show that a double analysis of monitoring data and estimated working parameters greatly anticipates degradations The resear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38b60d1892179bea51fc6f7aa1584059
https://doi.org/10.1364/ofc.2020.th1f.2

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Reinforcement learning-based autonomous multilayer network operation

Autor: Marc Ruiz, Sima Barzegar, Luis Velasco

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
ECOC

We propose an Intent-Based Networking solution based on Reinforcement Learning (RL). RL-based intents with specific operational objectives and coordinated operation between network layers are developed. Results show service assurance with automatic a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a98db3ef0f76fabb6f44133f2a7276f
http://hdl.handle.net/2117/341728

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