GCO - Grup de Comunicacions Òptiques

 

The Optical Communications Group (GCO) is part of the Signal Theory and Communications Department (TSC). Our key research areas involve Optical Fiber Technologies, Raman Spectroscopy and High-Speed Networking.

Our experience is related to optical wavelength domain transport and access networks (WDM, HDWDM, SCM), broadband fiber transmission, sources and receivers, all-optical amplification, optical heterodyne detection, wavelength stabilization and monitoring, transparent WDM network architectures and management, optical linear and non-linear distortions, polarization/PMD treatment and network quality monitoring.

The group is integrated in the Advanced Broadband Communications Centre (CCABA) -CCABA is the acronym of ''Centre de Comunicacions Avançades de Banda Ampla''. The CCABA was set up in January 1994 with the aim of consolidating a multi-disciplinary research group: the Integrated Broadband Communications research group, the Optical Communications, the Radio Communications and the Broadband Communications groups. The UPC supports this research centre and its laboratory was partially funded by the Spanish Education Ministry (CICYT) and by Research Commission of the Catalan Government (CIRIT) under several grants. In the EC IV Framework Programme the UPC participated in the Spanish National Host through the network platform of the CCABA.

The GCO laboratories are fully equipped with broadband instrumentation for WDM and high bit rate opto-electronic system design and characterization, as well as long haul fiber link measurements and IP-ATM-SDH-WDM networking.

Pàgina web del Departament

Envíos recientes

  • Designing an efficient clustering strategy for combined Fog-to-Cloud scenarios 

    Asensio Garcia, Adrian; Masip Bruin, Xavier; Durán Barroso, Ramón J.; Miguel Jiménez, Ignacio de; Ren, Guang-Jie; Daijavad, Shahrokh; Jukan, Admela (Elsevier, 2020-08-01)
    Artículo
    Acceso abierto
    The evolution of the Internet of Things (IoT) is imposing many distinct challenges, particularly to guarantee both wide and global systems communication, and to ensure an optimal execution of services. To that end, IoT ...

  • Improving QoT estimation accuracy with DGE monitoring using machine learning 

    Mahajan, Ankush; Christodoulopoulos, Kostantinos; Martinez, Ricardo; Spadaro, Salvatore; Muñoz, Raul (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    In optical transport networks, Dynamic Gain Equalizers (DGE) are typically used at each link. A DGE selectively attenuates the channels to compensate the cumulative Erbium Doped Fiber Amplifier (EDFA) gain ripple effect ...

  • Experimental demonstration of a machine learning-based in-band OSNR estimator from optical spectra 

    Locatelli, Fabiano; Christodoulopoulos, Konstantinos; Fàbrega, Josep Maria; Svaluto Moreolo, Michela; Nadal, Laia; Spadaro, Salvatore (2020)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    Channel spectral monitors are becoming a cost effective solution to improve the management, resiliency and efficiency of next generation optical transport networks. We experimentally demonstrate a ...

  • Brown-field gradual migration planning toward spectrally-spatially flexible optical networks 

    Lechowicz, Piotr; Perelló Muntan, Jordi; Spadaro, Salvatore; Walkowiak, Krzysztof (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    In this paper, we motivate a brown-field migrationplanning as a cost-efficient procedure to scale the capacity ofshort-term realizable elastic optical networks (EONs), graduallyconverting them into ...

  • Feature-based optical spectrum monitoring for failure detection and identification 

    Behnam Shariati, Mohammad; Ruiz Ramírez, Marc; Comellas Colomé, Jaume; Velasco Esteban, Luis Domingo (2019)
    Texto en actas de congreso
    Acceso abierto
    In this paper, we explore the benefits of analysing the optical spectrum of lightpaths for soft-failure detection and identification in Spectrum Switched Optical Network. We present a framework exploiting machine learning ...

  • Impact of traffic delay tolerance on elastic optical networks performance 

    Comellas Colomé, Jaume; Nourmohammadi, Farzaneh; Junyent Giralt, Gabriel (2020)
    Texto en actas de congreso
    Acceso abierto
    Elastic Optical Networks (EON) are considered as a valuable solution to enhance optical networks efficiency due to their superior network spectrum use. By breaking the traditional fixed grid of WDM networks, the spectrum ...

  • Modeling filtering penalties in ROADM-based networks with machine learning for QoT estimation 

    Mahajan, Ankush; Christodoulopoulos, Kostas; Martinez, Ricardo; Spadaro, Salvatore; Muñoz, Raul (2020)
    Texto en actas de congreso
    Acceso abierto
    Monitoring 3dB bandwidth and other spectrum related parameters at ROADMs provides information about quality of their filters. We propose a machine-learning model to estimate end-to-end filtering penalty for more accurate ...

  • Full-field, carrier-less, polarization-diversity, direct detection receiver based on phase retrieval 

    Chen, Haoshuo; Fontaine, Nicolas K.; Gené Bernaus, Joan M.; Ryf, Roland; Neilson, David T.; Raybon, Gregory (The Institution of Engineering and Technology (IET), 2019)
    Texto en actas de congreso
    Acceso abierto
    We realize dual-polarization full-field recovery using intensity only measurements and phase retrieval techniques based on dispersive elements. 30-Gbaud QPSK waveforms are transmitted over 520-km standard single-mode fiber ...

  • Towards broadly optimum multi-core fiber designs 

    Gené Bernaus, Joan M.; Winzer, Peter J.; Chen, Haoshuo; Ryf, Roland; Hayashi, Tetsuya; Sasaki, Takashi (The Institution of Engineering and Technology (IET), 2019)
    Texto en actas de congreso
    Acceso abierto
    We show that key multi-core fiber (MCF) design parameters depend only weakly on the application scenario, from data-center interconnects to submarine links, leading to transmission-distance-independent optimum MCF ...

  • Evaluating link latency in distributed SDN-based control plane architectures 

    Sgambelluri, Andrea; Casas, Xavier; Spadaro, Salvatore; Monti, Paolo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    Being able to account for the value of latency introduced by the transport infrastructure is considered a crucial feature for any 5G service provisioning strategy. This paper proposes a methodology for the automatic ...

  • Machine learning-based in-band OSNR estimation from optical spectra 

    Locatelli, Fabiano; Christodoulopoulos, Konstantinos; Svaluto Moreolo, Michela; Fàbrega, Josep Maria; Spadaro, Salvatore (2019-12-15)
    Artículo
    Acceso abierto
    Measuring the optical signal to noise ratio (OSNR) at certain network points is essential for failure handling, for single connection but also global network optimization. Estimating OSNR is inherently difficult in dense ...

  • Split-enabled 350–630 Gb/s optical interconnect with direct detection NOMA-CAP and 7-core multi-core fiber 

    Sarmiento Hernández, Samael; Delgado Mendinueta, José Manuel; Altabas, Jose Antonio; Spadaro, Salvatore; Shinada, Satoshi; Furukawa, Hideaki; Vegas Olmos, Juan José; Lázaro Villa, José Antonio; Wada, Naoya (2020-05-15)
    Artículo
    Acceso restringido por política de la editorial
    The ever-growing data traffic volume inside data centers caused by the popularization of cloud services and edge computing demands scalable and cost-efficient network infrastructures. With this premise, optical interconnects ...

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