Browsing by Author "Tabatabaeimehr, Fatemehsadat"
Now showing items 1-10 of 10
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Combining long-short term memory and reinforcement learning for improved autonomous network operation
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessA 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 ... -
Cooperative learning for disaggregated delay modeling in multidomain networks
(2021-05-05)
Article
Open AccessAccurate delay estimation is one of the enablers of future network connectivity services, as it facilitates the application layer to anticipate network performance. If such connectivity services require isolation (slicing), ... -
Distributed and centralized options for self-learning
(2019)
Conference report
Open AccessIn general, the availability of enough real data from real fog computing scenarios to produce accurate Machine Learning (ML) models is rarely ensured since new equipment, techniques, etc., are continuously ... -
Distributed collaborative knowledge management for optical network
(Universitat Politècnica de Catalunya, 2022-06-02)
Doctoral thesis
Open AccessNetwork automation has been long time envisioned. In fact, the Telecommunications Management Network (TMN), defined by the International Telecommunication Union (ITU), is a hierarchy of management layers (network element, ... -
Dynamic traffic prediction model retraining for autonomous network operation
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessIn general, the availability of an accurate machine learning (ML) model plays a particularly important role in the development of new networking solutions and is one of the main drivers for the development of 5G and beyond ... -
Intent-based networking and its application to optical networks [invited tutorial]
(2022-01-01)
Article
Open AccessThe 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 ... -
Knowledge management in optical networks
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessAutonomous network operation realized by means of control loops, where prediction from machine learning (ML) models is used as input to proactively reconfigure individual optical devices or the whole optical network, has ... -
Knowledge management in optical networks: architecture, methods, and use cases [Invited]
(Institute of Electrical and Electronics Engineers (IEEE), 2020-01-01)
Article
Open AccessAutonomous network operation realized by means of control loops, where prediction from machine learning (ML) models is used as input to proactively reconfigure individual optical devices or the whole optical network, has ... -
Modeling and assessing connectivity services performance in a sandbox domain
(Institute of Electrical and Electronics Engineers (IEEE), 2020-06-15)
Article
Open AccessThe automation of Network Services (NS) consisting of virtual functions connected through a multilayer packet-over-optical network requires predictable Quality of Service (QoS) performance, measured in terms of throughput ... -
Supporting beyond 5G applications by coordinating AI-based intent operation: an example for multilayer metro networks
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessIntent-based Networking (IBN) promises facilitating autonomous decision-making for service assurance. In this paper, we extend IBN by coordinating AI-based intents targeting at supporting beyond 5G services, like immersive ...
