A5071633449- Advanced Photonic Communication Systems
- Advanced Optical Network Technologies
- Optical Network Technologies
- Software-Defined Networks and 5G
- Photonic and Optical Devices
- IoT and Edge/Fog Computing
- Semiconductor Lasers and Optical Devices
- Advanced Fiber Laser Technologies
- Mobile Learning in Education
- Experimental Learning in Engineering
- Network Traffic and Congestion Control
- E-Learning and Knowledge Management
- Advanced Fiber Optic Sensors
- Educational Innovations and Technology
- Privacy-Preserving Technologies in Data
- Laser-Matter Interactions and Applications
- Vehicular Ad Hoc Networks (VANETs)
- Power Line Communications and Noise
- Innovative Teaching Methods
- Modular Robots and Swarm Intelligence
- Blockchain Technology Applications and Security
- Social Sciences and Policies
- Photonic Crystal and Fiber Optics
- Mobile Crowdsensing and Crowdsourcing
- Neural Networks and Applications
Universidad de Valladolid
2015-2024
Universidad de Salamanca
2023
Optica
2017
Electro Optical Systems (Germany)
2017
Universidad Politécnica de Madrid
2017
Universidad Politécnica de Cartagena
2016
Universitat Politècnica de Catalunya
2003-2015
In recent years, the number of embedded computing devices connected to Internet has exponentially increased. At same time, new applications are becoming more complex and computationally demanding, which can be a problem for devices, especially when they battery powered. this context, concepts computation offloading edge computing, allow fully or partially offloaded executed on servers close in network, have arisen received increasing attention. Then, design algorithms make decision tasks...
We propose a cognitive Quality of Transmission (QoT) estimator for classifying lightpaths into high or low quality categories in impairment-aware wavelength-routed optical networks. The technique is based on Case-Based Reasoning (CBR), an artificial intelligence which solves new problems by exploiting previous experiences, are stored knowledge base. also show that including learning and forgetting techniques, the underlying base can be optimized, thus leading to significant reduction...
The use of cognition is a promising element for the control heterogeneous optical networks. Not only are cognitive networks able to sense current network conditions and act according them, but they also take into account knowledge acquired through past experiences; that is, include learning with aim improving performance. In this paper, we review fundamentals focus on their application networking area. particular, number architectures proposed so far, as well associated supporting...
In this paper, a proportional-integral-derivative (PID) controller integrated with neural network (NN) is proposed to ensure quality of service (QoS) bandwidth requirements in passive optical networks (PONs). To the best our knowledge, first time an approach that implements NN tune PID deal QoS PONs used. contrast other tuning techniques such as Ziegler–Nichols or genetic algorithms (GA), proposal allows real-time adjustment parameters according conditions. Thus, new algorithm provides...
Elastic Optical Networks (EONs) are a promising optical technology to deal with the ever-increasing traffic and vast number of connected devices next generation Internet, associated paradigms like Internet Things (IoT), Tactile or Industry 4.0, name just few. In this kind network, each circuit lightpath is provisioned by means superchannels variable bandwidth. manner, only necessary bandwidth accommodate demand allocated, improving spectrum usage. When establishing connection, EON control...
In optical networking, virtual topologies have been introduced mainly to provide service providers with logical connections equipped a reserved amount of bandwidth, which can be exploited interconnect their equipment at the edges transport infrastructure. Virtual are thus basically an abstraction real substrate, created by means process called topology design (VTD). VTD is complex task, affected many parameters and constraints, among them current traffic conditions very relevant. Indeed, it...
Network Utility Maximization Models (NUM) have been successfully applied to address multiple resource allocation problems in communication networks.This paper explores for the first time its application model bandwidth problem PONs and Long-Reach PONs.Using NUM model, we propose FEx-DBA (Fair Excess-DBA) algorithm a new Dynamic Bandwidth Allocation (DBA) scheme allow fair efficient of upstream channel capacity.The framework provides mathematical support formally define fairness concept...
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...
Space division multiplexing (SDM) and band (BDM) are considered promising technologies to increase the capacity of optical transport networks. The progressive shortage available dark fibers immaturity multicore multimode for multichannel transmission induce network operators postpone process enhancement through SDM. Therefore, revolves around BDM by lighting up at least L-band already installed fiber infrastructure, which is a practical solution in short middle term. However, activation...
The aim of cognition in optical networks is to introduce intelligence into the control plane that allows for autonomous end-to-end performance optimization and minimization required human intervention, particularly targeted at heterogeneous network scenarios. A cognitive observes, learns, makes informed decisions based on its current status knowledge about past their results. To test operation algorithms real time, we created first operational testbed a Cognitive Heterogeneous Reconfigurable...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper proposes a wavelength-division-multiplexing passive optical network architecture with colorless user terminals based on the use of different modulation scheme for each way communication. Narrow-frequency-shift keying (FSK) obtained by direct distributed feedback laser has been used downstream channel, and intensity upstream channel. The performance link this assessed, particular...
Abstract We developed the responsive environment AIM‐Mobile Learning Platform, which permits to assess students using smartphones and design online educational packets. carried out a qualitative quantitative study in Higher Education subjects case triangulation data methods. Results demonstrated that promotes dynamic learning‐teaching process inside class, increasing motivation, participation, attention of helping them be more conscious their self‐learning process.
High degree of heterogeneity future optical networks, stemming from provisioning services with different quality-of-transmission requirements, and transmission links employing mixed modulation formats or switching techniques, will pose a challenge for the control management network. The incorporation cognitive techniques can help to optimize network by mechanisms that observe, act, learn improve performance, taking into account end-to-end goals. EU project CHRON: Cognitive Heterogeneous...
The impact of physical layer impairments in optical network design and operation has received significant attention the last years, thereby requiring estimation techniques to predict quality transmission (QoT) connections before being established. In this paper, we report on experimental demonstration a case-based reasoning (CBR) technique whether channels fulfill QoT requirements, thus supporting impairment-aware networking. validation cognitive estimator is performed WDM 80 Gb/s PDM-QPSK...
Next generation of Internet Things (IoT) services imposes stringent requirements to the future networks that current ones cannot fulfill. 5G is a technology born give response those requirements. However, deployment also accompanied by profound architectural changes in network, including introduction technologies like multi-access edge computing (MEC), software defined networking (SDN), and network function virtualization (NFV). In particular, NFV poses diverse challenges virtual (VNF)...
A cognitive system is proposed to quickly estimate the Quality of Transmission (QoT) lightpaths in optical networks. It achieves more than 99% successful classifications into high or low QoT categories.
"Greening the Internet" is an important research topic in last years. The Internet capacity and energy consumption have increased, utilization of design operation techniques to reduce this are a must. In paper, we present multiobjective genetic algorithm virtual topologies for reconfigurable wavelength-routed optical networks with aim reducing both network congestion while ensuring that lightpaths fulfill quality transmission requirements. Moreover, also another version method enhanced...
Future optical networks may increase their efficiency and flexibility by the utilization of Orthogonal Frequency Division Multiplexing (OFDM). When such a technique is employed, spectrum assigned to lightpath can be tailored suit its requirements. Thus, when addressing establishment connections (lightpaths) in flexible networks, rather than solving well-known Routing Wavelength Assignment (RWA) problem, Spectrum (RSA) problem should solved. In this paper, we propose compare number techniques...
In this paper, we present a new version of multiobjective genetic algorithm to design virtual topologies with the aim reducing both energy consumption and network congestion. Moreover, also propose an improved that algorithm, by including two cognitive techniques. Unlike original version, proposals survivable topologies, as they provide shared path protection thus offering fault-tolerance capability efficient resource utilization. proposed methods take into account physical impairments in...
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%.