A5054431956- Advanced Optical Network Technologies
- Optical Network Technologies
- Advanced Photonic Communication Systems
- Software-Defined Networks and 5G
- Semiconductor Lasers and Optical Devices
- Heart Rate Variability and Autonomic Control
- Blood Pressure and Hypertension Studies
- Sodium Intake and Health
Universidad de Valladolid
2003-2018
Huawei Technologies (Germany)
2014
Hospital Universitario Río Hortega
2003
Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction. This paper presents a comprehensive review of the application AI techniques for improving performance optical communication networks. The use AI-based first studied in applications related transmission, ranging from characterization operation network components monitoring, mitigation...
5G technologies promise to bring new network and service capacities are expected introduce significant architectural deployment transformations. The Cloud-Radio Access Networks (C-RAN) architecture, enabled by the combination of Software Defined Networking (SDN), Network Function Virtualization (NFV) Mobile Edge Computing (MEC) technologies, play a key role in development 5G. In this context, paper addresses problems Virtual Functions (VNF) provisioning (VNF-placement chain allocation)...
A novel quality of transmission (QoT) estimator based on support vector machines (SVM) is proposed for classifying optical connections (lightpaths) into high or low categories in impairment-aware wavelength-routed networks (WRONs). The performance the SVM-based evaluated a long haul communications network and compared to previous semi-analytical cognitive proposals. Results show that SVM approach significantly reduces necessary computing time estimate QoT given lightpath, critical aspect...
We propose and compare a number of machine learning models to classify unestablished lightpaths into high or low quality transmission (QoT) categories in impairment-aware wavelength-routed optical networks. The performance these is evaluated long haul communication networks compared previous proposals. Results show that, especially random forests bagging trees approaches, significantly reduce the required computing time QoT given lightpath, while accuracy remains around 99.9%.
We provide an overview of artificial intelligence techniques and their use in optical communication systems networks with the aim improving performance. Areas application include transmission, performance monitoring, quality transmission as well network planning operation.
A genetic algorithm is proposed to map virtual network functions in computing resources over 5G networks with an optical backhauling system. The outperforms other proposals terms of blocking ratio and active CPU cores utilization.
This paper overviews the approach of Elastic Networks research network to address different issues planning and control Flex-Grid/SDM optical networks. Firstly, we present Net2Plan open-source tool capabilities model networks; secondly a PCE-based Transport-SDN controller for packet over flex-grid networks is described. Finally results on machine-learning-based QoT classification techniques useful in tasks are reported.
An energy model including both operational and embodied is proposed to evaluate the performance evolution of optical transport networks in a multi-period study up 15 years. Significant improvements efficiency per GHz reductions can be achieved for flexi-grid OFDM-based with respect fixed-grid WDM ones.
We analyze the energy efficiency of optical transport networks considering both embodied and operational energy. Significant savings GHG emission reductions are achieved by combining flexible techniques on digital domains.