GCO - Grup de Comunicacions Òptiques: Recent submissions
Now showing items 1-12 of 627
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Deep learning-based real-time analysis of lightpath optical constellations [Invited]
(Institute of Electrical and Electronics Engineers (IEEE), 2022-06-01)
Article
Restricted access - publisher's policyOptical network automation requires accurate physical layer models, not only for provisioning but also for real-time analysis. In particular, In-Phase (I) and Quadrature (Q) constellation analysis enables deep understanding ... -
Experimental demonstration of SDN-enabled reconfigurable disaggregated data center infrastructure
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Restricted access - publisher's policyA 4-node prototype of SDN-controlled disaggregated data-center network is experimentally demonstrated based on the nanoseconds optical switch, enabling flexible hardware resource provisioning and dynamic resource reallocation. ... -
Desarrollo de un entorno de simulación para el aprendizaje de un algoritmo de navegación autónoma de un velero de 2 metros de eslora
(Universidade da Coruña. Servizo de Publicacións, 2021)
Conference lecture
Open AccessSe presenta el desarrollo de un entorno virtual de simulación basado en Python Turtle para el entrenamiento de un algoritmo de aprendizaje por refuerzo destinado a la navegación autónoma de un velero de 2 metros de eslora. ... -
Autonomous resource assignment for optimal utilization in optical data centre infrastructures
(Optica Publishing Group, 2021)
Conference report
Restricted access - publisher's policyWe present an architectural solution based on data analytics for self-organizing optical data centers. Thanks to a reinforcement learning-based cognitive layer, an adaptive and autonomous resource assignment to deployed ... -
A latency-aware real-time video surveillance demo: network slicing for improving public safety
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessWe report the automated deployment of 5G services across a latency-aware, semi- disaggregated, and virtualized metro network. We summarize the key findings in a detailed analysis of end-to-end latency, service setup time, ... -
Demonstration of latency-aware 5G network slicing on optical metro networks
(Optical Society of American (OSA), 2022-01-01)
Article
Restricted access - publisher's policyThe H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semi-disaggregated metro nodes with compute and storage ... -
End-to-end intent-based networking
(2021-10)
Article
Open AccessTo reap its full benefits, 5G must evolve into a scalable decentralized architecture by exploiting intelligence ubiquitously and securely across different technologies, network layers, and segments. In this article, we ... -
Lightweight optical constellation modeling by concatenating artificial neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessA lightweight optical constellations modeling method based on concatenating ANNs is proposed. Statistical validation of the reproduced constellations is shown. The method accelerates data generation and facilitates detecting ... -
An autoencoder-based solution for IQ constellation analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessA method for IQ constellation analysis based on Autoencoders is proposed. Exhaustive numerical results show accurate physical metric prediction and large data compression, while providing useful model explainability. -
Intent-based networking and its application to optical networks [invited tutorial]
(2022-01-01)
Article
Restricted access - publisher's policyThe 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 ... -
Implementing a machine learning function orchestration
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessDeployment of Machine Learning (ML) applications require from an Orchestrator to create ML functions that are connected as ML pipelines. Orchestrator implementation and demonstration for the deployment and reconfiguration ... -
Reliable and accurate autonomous flow operation based on off-line trained reinforcement learning
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessA 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 ...
