Les systèmes de communication connaissent une forte mutation poussée par leur convergence vers les technologies issues des systèmes d’information : programmation des réseaux, virtualisation et maintenant cloudification, flexibilité et rapidité de déploiement.
Le laboratoire Connectivité Avancée accompagne cette mutation en concevant des solutions logicielles et matérielles allant de l’accès radio (massive MIMO, ondes millimétriques, nouveaux FEC) aux infrastructures cœur de réseau (architectures SDN, CUPS et micro-services) à même de répondre à ces nouveaux besoins. Le laboratoire s’appuie sur des domaines de compétences étendus tels que la radio, le traitement du signal, les systèmes on-chip (SoC), les plateformes Software Defined Radio (SDR), le développement logiciel et les infrastructures cloud. Il traite ces thématiques en proposant des évolutions d’architecture restructurant les fonctions vers le réseau Edge.
Fort des résultats de nombreux projets de recherche depuis 5 ans sur les réseaux mobiles, nous avons des ingrédients pour accélérer les développements du plan xG, souveraineté 5G.
07.08.2018
The distribution of the peak to average power ratio (PAPR) of multicarrier systems is studied in the context of signals featuring low subcarriers number. Considering the mean power of the signal as a random variable, a general cumulative distribution function of the PAPR is suggested. We show that the new formulation is valid not only for low subcarriers number, but also for larger subcarriers…
lire la publication
25.11.2018
Multi-objective multi-constrained QoS Routing in large-scale networks: A genetic algorithm approach
The growing need for a simplified management of network infrastructures has recently led to the emergence of software-defined networking (SDN), which enables a centralized path calculation. The diversification of services, as well as the need of rapid path deployment, raises, however, challenges in routing algorithms. Moreover, Quality of Service (QoS) requirements and conflicts between them pile…
lire la publication
21.08.2018
The main objective of this work is to facilitate the identification, sharing and reasoning about cerebral tumors observations via the formalization of their semantic meanings in order to facilitate their exploitation in both the clinical practice and research. We have focused our analysis on the VASARI terminology as a proof of concept, but we are convinced that our work can be useful in other…
lire la publication
24.11.2018
Improving traffic forecasting for 5G core network scalability: A Machine Learning approach
5G is expected to provide network connectivity to not only classical devices (i.e. tablets, smartphones, etc) but also to the Internet Of Things (IOT), which will drastically increase the traffic load carried over the network. 5G will mainly rely on Network Function Virtualization (NFV) and Software Defined Network (SDN) to build flexible and on-demand instances of functional networking entities,…
lire la publication
