Browsing by Author "Christodoulopoulos, Konstantinos"
Now showing items 1-14 of 14
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Adaptive and iterative QoT estimator retraining for launch power optimization
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessWe dynamically optimize the transponders launch powers with iterative closed control loops. We close the loop after an adaptable number of algorithm’s intermediate calculations, to monitor and retrain the QoT estimator ... -
Data plane elements for optical performance monitoring agnostic to the modulation format for disaggregated optical networks
(2020)
Conference report
Open AccessIn this paper, data plane alternatives for optical performance monitoring are presented as enablers to address the key challenges in disaggregated optical networks. In fact, a key element of the disaggregated networks is ... -
Experimental demonstration of a machine learning-based in-band OSNR estimator from optical spectra
(2020)
Conference report
Restricted access - publisher's policyChannel 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 ... -
Filter features extraction from optical spectra
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessWe propose a method to estimate the central frequency and the bandwidth of optical filters, that relies on optical spectra captured with optical channel monitors at ROADM’s ingress port. We demonstrate for both features ... -
Impact of multi-vendor transponders performance on design margin in optical networks
(Institute of Electrical and Electronics Engineers (IEEE), 2021-01-01)
Article
Open AccessFor reliable and efficient network planning and operation, accurate estimation of Quality of Transmission (QoT) is necessary. In optical networks, a physical layer model (PLM) is typically used as a QoT estimation tool ... -
Improving QoT estimation accuracy with DGE monitoring using machine learning
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Restricted access - publisher's policyIn 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 ... -
Machine learning assisted EDFA gain ripple modelling for accurate QoT estimation
(The Institution of Engineering and Technology, 2019)
Conference report
Open AccessWavelength dependent EDFA gain ripple has an impact on connection's OSNR performance. We propose a machine learning regression model to estimate the end to end gain ripple penalty and to increase QoT estimation accuracy. -
Machine learning-based in-band OSNR estimation from optical spectra
(2019-12-15)
Article
Open AccessMeasuring 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 ... -
Modeling EDFA gain ripple and filter penalties with machine learning for accurate QoT estimation
(Institute of Electrical and Electronics Engineers (IEEE), 2020-05-01)
Article
Open AccessFor 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
(2020)
Conference report
Open AccessMonitoring 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 ... -
Modelling multi-vendor transponders performance and optimizing launch power
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessWe propose physical layer model extensions that capture the performance variations of multivendor transponders and use those with appropriate algorithms to optimize connections’ launch powers. We estimated potential SNR ... -
Quality of transmission estimator retraining for dynamic optimization in optical networks
(Institute of Electrical and Electronics Engineers (IEEE), 2021-04-01)
Article
Open AccessOptical network optimization involves an algorithm and a physical layer model (PLM) to estimate the quality of transmission of connections while examining candidate optimization operations. In particular, the algorithm ... -
Research in optical burst switching within the e-Photon/ONe network of excellence
(2007-02)
Article
Restricted access - publisher's policyThis paper presents a summary of Optical Burst Switching (OBS) research within the VI framework program e-Photon/ONe network of excellence. The paper includes network aspects such as routing techniques, resilience and ... -
Spectral processing techniques for efficient monitoring in optical networks
(Institute of Electrical and Electronics Engineers (IEEE), 2021-07-01)
Article
Open AccessHaving ubiquitous optical monitors in dense wavelength-division multiplexing (DWDM) or flex-grid networks allows the estimation in real time of crucial parameters. Such monitoring would be even more important in disaggregated ...
