A5060190636- Advanced Optical Network Technologies
- Advanced Photonic Communication Systems
- Optical Network Technologies
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Photonic and Optical Devices
- IoT Networks and Protocols
- Semiconductor Lasers and Optical Devices
- E-Learning and Knowledge Management
- Mobile Learning in Education
- Experimental Learning in Engineering
- Advanced Fiber Laser Technologies
- Educational Innovations and Technology
- Digital Transformation in Industry
- Energy Harvesting in Wireless Networks
- Cloud Computing and Resource Management
- Power Line Communications and Noise
- Advanced Fiber Optic Sensors
- Network Traffic and Congestion Control
- Satellite Communication Systems
- Educational Technology in Learning
- Data Quality and Management
- Engineering Education and Technology
- Building Energy and Comfort Optimization
- Technology in Education and Healthcare
Universidad de Valladolid
2015-2025
Universidad de Salamanca
2023
Delft University of Technology
2023
Optica
2017
Electro Optical Systems (Germany)
2017
Universidad Politécnica de Madrid
2017
Universidad de Murcia
2016
Graz University of Technology
2014
Technical University of Denmark
2014
Thales (Portugal)
2013
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...
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...
This paper investigates the challenges for developing current local area network (LAN)-based Ethernet protocol into a technology future architectures that is capable of satisfying dynamic traffic demands with hard service guarantees using high-bit-rate channels (80...100 Gb/s). The objective to combine high-speed optical transmission and physical interfaces (PHY) medium access control (MAC) protocol, designed meet in metropolitan-area networks (MANs). an ideal candidate extension MAN as it...
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...
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)...
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...
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...
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...
In this paper a proportional–integral–derivative (PID) controller to efficiently allocate bandwidth in high coverage passive optical networks (PONs) is presented. The novelty of proposal relies on the fact that first use PID control network parameter PONs. As takes into account present, past and possible future errors adjustment, self-adapting technique results very robust process. Simulation exhibit not only it faster more stable than other algorithms, but also auto-adapts resources when...
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...
Current building data is treated as silos from the different domains. However, this provokes lack of cross-domain mixture to provide added-value services, mainly due interoperability. Data quality also an issue when collecting buildings. The proposed lake aims solve these challenges by considering whole life-cycle ensure minimum requirements, providing high-quality services make better-informed decisions. Heterogeneous building-related thus combined enrich information, being able address...
The dynamic operation of WDM networks might lead to significant wavelength savings, when compared with their static counterpart, at the expense facing nonzero blocking probability. Hence, efficient dimensioning (i.e., determining each link capacity) and control methods are required operate these networks. Typically, is carried out only after routing algorithm has been defined. However, this way designing network result in inefficient solutions terms requirements. We propose a novel genetic...
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...
A systematic study comparing the wear behaviour of composites with nylon matrix (PA66, PA46, PA12) and different nanoadditives reinforcing additives (graphite, graphene, MoS2 ZrO2) has been carried out in order to achieve a proper self-lubricant material for bearing cages. The characterisation was done using pin-on-disc tests, SEM EDX analysis. results show that better outcomes are obtained based on PA12. addition ZrO2 offers negative values due metallic particle transference from...
Abstract A novel polling algorithm is proposed to provide subscriber differentiation at the upstream channel in long‐reach EPONs. As operators and service providers prefer operate loads with no congestion losses, developed has been designed improve efficiency for those which network likely work. This new scheme permits anticipate transmission of some packets order take advantage wasted bandwidth between consecutive transmissions ONUs. a result, not only does this behave alike other...