Experimental Nonlinear Distorsion Analysis for the Design of Performance Estimator in Coherent Optical Networks

Les réseaux optiques à très haut-débit sont à la base des technologies de l’information d’aujourd’hui et le sujet d’intenses recherches. Alors que l’innovation permet de rendre les transpondeurs flexibles et versatiles, les réseaux de transmission par fibres optiques sont encore configurés manuellement et surtout rarement modifiés au cours de la vie du réseau. Un des points bloquants pour aller vers la reconfiguration et l’automatisation des réseaux optiques est le besoin de prédiction de la performance de tous les liens du réseau de façon précise et rapide. Cependant, la prédiction est rendue plus complexe par la diversité du type de fibres optiques déployées et les régimes de propagation utilisés.Au cours de mes travaux, j’ai étudié expérimentalement les distorsions du signal provenant des effets non-linéaires de type Kerr, accumulées sur des centaines de kilomètres de fibres optiques. Au travers d’expériences spécifiques et contrôlées, j’ai mesuré et mis en évidence les propriétés fondamentales des distorsions non-linéaires. Ces analyses m’ont permis de concevoir l’estimateur d’un modèle de performance destiné à des liens optiques hétérogènes, qui s’applique pour différents types de fibre et différents régimes de propagation.La flexibilité des transpondeurs associés à un estimateur de performance permettront de concevoir, d’optimiser et d’adapter de façon dynamique les canaux en fonction de la demande et de la topologie du réseau, ainsi que de calculer la protection et la restauration des chemins.Nowadays, high-speed fiber-optic communication networks are the basis of information technology and the subject of intense research. Innovation enables transponders to be flexible and versatile, but fiber optical networks are still configured manually and especially almost never tuned during the life of the network. One of the blocking points toward reconfigurable and automated optical networks is the need of performance prediction for any link of the network in an accurate and fast way. However, the prediction is made even more complex by the diversity of deployed optical fiber types and propagation regimes.During my work, I addressed experimentally the signal distortions coming from nonlinear Kerr effects accumulated on hundreds of kilometers of optical fibers. Based on specific and controlled experiments, I have measured and highlighted the properties of the nonlinear distortions. These analyses allowed me to design a performance model estimator that can be applied to heterogeneous optical links with various optical fiber types and propagation regimes.The flexibility of transponders associated with a performance estimator will optimize and tune the channels dynamically depending on the load and the topology of the network, as well as compute the protection and restoration links

Analyse Expérimentale des Distorsions Non-Linéaires pour la Construction d’un Estimateur de Performances des Réseaux Optiques Cohérents

Nowadays, high-speed fiber-optic communication networks are the basis of information technology and the subject of intense research. Innovation enables transponders to be flexible and versatile, but fiber optical networks are still configured manually and especially almost never tuned during the life of the network. One of the blocking points toward reconfigurable and automated optical networks is the need of performance prediction for any link of the network in an accurate and fast way. However, the prediction is made even more complex by the diversity of deployed optical fiber types and propagation regimes.During my work, I addressed experimentally the signal distortions coming from nonlinear Kerr effects accumulated on hundreds of kilometers of optical fibers. Based on specific and controlled experiments, I have measured and highlighted the properties of the nonlinear distortions. These analyses allowed me to design a performance model estimator that can be applied to heterogeneous optical links with various optical fiber types and propagation regimes.The flexibility of transponders associated with a performance estimator will optimize and tune the channels dynamically depending on the load and the topology of the network, as well as compute the protection and restoration links.Les réseaux optiques à très haut-débit sont à la base des technologies de l’information d’aujourd’hui et le sujet d’intenses recherches. Alors que l’innovation permet de rendre les transpondeurs flexibles et versatiles, les réseaux de transmission par fibres optiques sont encore configurés manuellement et surtout rarement modifiés au cours de la vie du réseau. Un des points bloquants pour aller vers la reconfiguration et l’automatisation des réseaux optiques est le besoin de prédiction de la performance de tous les liens du réseau de façon précise et rapide. Cependant, la prédiction est rendue plus complexe par la diversité du type de fibres optiques déployées et les régimes de propagation utilisés.Au cours de mes travaux, j’ai étudié expérimentalement les distorsions du signal provenant des effets non-linéaires de type Kerr, accumulées sur des centaines de kilomètres de fibres optiques. Au travers d’expériences spécifiques et contrôlées, j’ai mesuré et mis en évidence les propriétés fondamentales des distorsions non-linéaires. Ces analyses m’ont permis de concevoir l’estimateur d’un modèle de performance destiné à des liens optiques hétérogènes, qui s’applique pour différents types de fibre et différents régimes de propagation.La flexibilité des transpondeurs associés à un estimateur de performance permettront de concevoir, d’optimiser et d’adapter de façon dynamique les canaux en fonction de la demande et de la topologie du réseau, ainsi que de calculer la protection et la restauration des chemins

Benefit of Ambulatory Management of Patients with Chronic Heart Failure by Protocolized Follow-Up Therapeutic Education and Remote Monitoring Solution: An Original Study in 159 Patients

This study sought to determine whether the implementation of regular and structured follow-up of patients with chronic heart failure (CHF), combined with therapeutic education and remote monitoring solution, leads to better management. This was a single-center retrospective study conducted in a cohort of patients with proven CHF who were followed up in the Mulhouse region (France) between January 2016 and December 2017 by the Unité de Suivi des Patients Insuffisants Cardiaques (USICAR) unit. These patients received regular protocolized follow-up, a therapeutic education program, and several used a telemedicine platform for a two-year period. The primary endpoint was the number of days hospitalized for heart failure (HF) per patient per year. The main secondary endpoints included the number of days hospitalized for a heart condition other than HF and the number of hospital stays for HF per patient. These endpoints were collected during the year preceding enrollment, at one year of follow-up, and at two years of follow-up. The remote monitoring solution was evaluated on the same criterion. Overall, 159 patients with a mean age of 72.9 years were included in this study. They all had CHF, mainly NYHA Class I-II (88.7%), predominantly of ischemic origin (50.9%), and with altered left ventricular ejection fraction in 69.2% of cases. The mean number of days hospitalized for HF per patient per year was 8.33 (6.84–10.13) in the year preceding enrollment, 2.6 (1.51–4.47) at one year of follow-up, and 2.82 at two years of follow-up (1.30–6.11) (p < 0.01 for both comparisons). The mean number of days hospitalized for a heart condition other than HF was 1.73 (1.16–2.6), 1.81 (1.04–3.16), and 1.32 (0.57–3.08), respectively (p = ns). The percentage of hospitalization for HF for each patient was 69.5% (60.2–77.4), 16.2% (10–25.2), and 19.3% (11–31.8), respectively (p < 0.001 for both comparisons). In the group telemedicine, the mean number of days hospitalized for HF per patient per year was 8.33 during the year preceding enrollment, 2.3 during the first year of follow-up, and 1.7 during the second. This difference was significant (p < 0.001). The “number of days hospitalized for a heart condition other than HF” was significantly reduced in the group of patient’s beneficiating from the remote monitoring solution. This study demonstrates the value of a protocolized follow-up associated with a therapeutic optimization, therapeutic education program, and the use of a remote monitoring solution to improve the management of ambulatory patients with CHF, particularly of moderate severity