Core, Mode, and Spectrum Assignment Based on Machine Learning in Space Division Multiplexing Elastic Optical Networks

Yao, Qiuyan; Yang, Hui; Zhu, Ruijie; Yu, Ao; Tan, Yuanlong; Zhang, Jie; Xiao, Hongyun

doi:10.1109/access.2018.2811724

Cited by 63 publications

(20 citation statements)

References 21 publications

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“…In the transformer network structure, the input is mainly composed of word coding and position coding. Position coding is mainly used to record the position information in the input sequence of each term [22].…”

Section: Algorithmic Analysis Of English Networkmentioning

confidence: 99%

An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System

2021

Scientific Programming

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The traditional English teaching system has certain problems in the acquisition of teaching resources and the innovation of teaching models. In order to improve the effect of subsequent English online teaching, this paper improves the machine learning algorithm to make it a core algorithm that can be used by artificial intelligence systems. Moreover, this paper combines the WBIETS system to expand the system function, analyzes the needs of the English network teaching system, and constructs the system function modules and logical structure. The data layer, logic layer, and presentation layer in the system constructed in this paper are independent of each other and can be effectively expanded when subsequent requirements change. In addition, this paper solves the problem of acquiring English teaching resources through the WBIETS system. To evaluate the performance of the English network teaching system, this paper performs comprehensive mathematical and experimental analysis. The experimental results show that the system constructed in this paper basically meets the actual teaching requirements.

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Section: Algorithmic Analysis Of English Networkmentioning

confidence: 99%

An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System

2021

Scientific Programming

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“…Analogamente ao que ocorre em MMFs/FMFs, em redes ópticas que utilizam MCFs, o crosstalk está associado à interferência entre núcleos presentes em uma mesma fibra (YAO et al, 2018). O nível de interferência está diretamente associado ao nível de acoplamento entre os núcleos: (1) desacoplados, (2) fracamente acoplados e (3) fortemente acoplados.…”

Section: Multiplexação Por Divisão Espacialunclassified

Microgrid System Design Based on Model Based Systems Engineering: The Case Study in the Amazon Region

Postigo¹,

Silva²

2021

Engenharia Elétrica: Desenvolvimento E Inovação Tecnológica

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Direitos para esta edição cedidos à Atena Editora pelos autores. Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição-Não-Comercial-NãoDerivativos 4.0 Internacional (CC BY-NC-ND 4.0).O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores, inclusive não representam necessariamente a posição oficial da Atena Editora. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais. Todos os manuscritos foram previamente submetidos à avaliação cega pelos pares, membros do Conselho Editorial desta Editora, tendo sido aprovados para a publicação com base em critérios de neutralidade e imparcialidade acadêmica.A Atena Editora é comprometida em garantir a integridade editorial em todas as etapas do processo de publicação, evitando plágio, dados ou resultados fraudulentos e impedindo que interesses financeiros comprometam os padrões éticos da publicação. Situações suspeitas de má conduta científica serão investigadas sob o mais alto padrão de rigor acadêmico e ético.

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“…In [19], the output of a neural-network estimator is exploited by a heuristic algorithm for dynamic routing and spectrum assignment in a multicast scenario. The authors of [20] propose a ML-based approach for inter-core crosstalk estimation in optical networks with multicore fibers. The proposed regressor is queried by a heuristic algorithm for core, route and spectrum assignment.…”

Section: B Integration Of Qot Predictors and Rsa Techniquesmentioning

confidence: 99%

Routing and Spectrum Assignment Integrating Machine-Learning-Based QoT Estimation in Elastic Optical Networks

Salani

Rottondi

Tornatore

2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

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Machine Learning (ML) is under intense investigation in optical networks as it promises to lead to automation of a variety of management tasks, as amplifier gain equalization, fault recognition, Quality of Transmission (QoT) estimation, and many others. Though several studies focus on each of these specific tasks, the integration of ML-based estimations inside Routing and Spectrum Assignment (RSA) is still largely unexplored. This paper moves towards such integration. We develop a framework that leverages the probabilistic outputs of a MLbased QoT estimator to define the reach constraints in an Integer Linear Programming (ILP) formulation for RSA in an elastic optical network. In this integrated procedure, the RSA problem is solved iteratively by updating the reach constraints based on the outcome of a QoT estimator, to exclude lightpaths with unacceptable QoT. In our numerical evaluation, the proposed integrated method achieves savings in spectrum occupation up to 30% (around 20% on average) compared to traditional ILPbased RSA approaches with reach constraints based on margined analytical models.

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Core, Mode, and Spectrum Assignment Based on Machine Learning in Space Division Multiplexing Elastic Optical Networks

Cited by 63 publications

References 21 publications

An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System

An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System

Microgrid System Design Based on Model Based Systems Engineering: The Case Study in the Amazon Region

Routing and Spectrum Assignment Integrating Machine-Learning-Based QoT Estimation in Elastic Optical Networks

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