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.
20.08.2019
Uplink Channel Estimation and Equalization in NB-IoT System
This paper deals with channel estimation and equalization, as well as noise variance estimation in uplink narrowband-internet of things (NB-IoT) system. Different techniques are studied in the context of NB-IoT, such as least square (LS) and linear minimum mean square error (LMMSE) for channel estimation, and zero forcing (ZF) and MMSE for equalization. It is shown that a low-complexity…
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18.10.2018
Using Quantile Regression for Reclaiming Unused Cloud Resources while achieving SLA
Although Cloud computing techniques have reduced the total cost of ownership thanks to virtualization, the average usage of resources (e.g., CPU, RAM, Network, I/O) remains low. To address such issue, one may sell unused resources. Such a solution requires the Cloud provider to determine the resources available and estimate their future use to provide availability guarantees. This paper proposes…
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25.11.2018
Smart scaling of the 5G core network: an RNN-based approach
The upcoming mobile core network, which will be based on Virtual Network Functions (VNF), will face an increase of data traffic on both data and control planes. This is due to the increase of the number of connected devices and the newly 5G supported-services like IoT, Connected Health Care etc. Therefore dynamic and accurate scalability techniques should be envisioned in order to answer the…
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18.12.2018
Enhancing network slice security via Artificial Intelligence: challenges and solutions
At this moment, the management of a network proposes new challenges for communication service providers (CSP). There is no human workforce capable to perform FCAPS (fault, configuration, accounting , performance and security) administration satisfying the exigent service level agreements to customers and keeping the same pace with respect to business. For 5G, one key challenge is the management…
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