Exploració per autor "Muñoz, Raul"
Ara es mostren els items 9-12 de 12
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Modeling EDFA gain ripple and filter penalties with machine learning for accurate QoT estimation
Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martínez, Ricardo; Spadaro, Salvatore; Muñoz, Raul (Institute of Electrical and Electronics Engineers (IEEE), 2020-05-01)
Article
Accés obertFor reliable and efficient network planning and operation, accurate estimation of Quality of Transmission (QoT) before establishing or reconfiguring the connection is necessary. In optical networks, a design margin is ... -
Modeling filtering penalties in ROADM-based networks with machine learning for QoT estimation
Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martinez, Ricardo; Spadaro, Salvatore; Muñoz, Raul (2020)
Text en actes de congrés
Accés obertMonitoring 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 ... -
Regenerator allocation in translucent networks under inaccurate physical information
Marín Tordera, Eva; Yannuzzi, Marcelo; Masip Bruin, Xavier; Sánchez López, Sergio; Martínez, Ricardo; Muñoz, Raul; Casellas, Ramon (2009-12-14)
Text en actes de congrés
Accés obertOptimized regenerator allocation techniques select which of the already installed regenerators in a translucent network must be used in order to maximize the quality of the optical signal while minimizing the opaqueness ... -
The Effects of Optimized Regenerator Allocation in Trans-lucent Networks under Inaccurate Physical information
Marín Tordera, Eva; Yannuzzi, Marcelo; Masip Bruin, Xavier; Sánchez López, Sergio; Martínez, Ricardo; Muñoz, Raul; Casellas, Ramon; Maier, Guido (2010-02-04)
Comunicació de congrés
Accés obertOptimized regenerator allocation techniques select which of the already installed regenerators in a translucent network must be used in order to maximize the quality of the optical signal while minimizing the opaqueness ...