Communication systems are experiencing a major change being driven by their convergence on technologies drawn from information systems: Network programming, virtualization, and now cloudification, flexibility, and speed of deployment.
The Advanced Connectivity lab is helping this change come about by designing software and hardware solutions ranging from radio access (massive MIMO, millimeter waves, new FECs) to core network infrastructure (SDN architecture, CUPS, and micro-services) that can address these new needs. The lab relies on expanded areas of skill such as radio, signal processing, systems on-chip (SoC), Software-Defined Radio (SDR) platforms, software development, and cloud infrastructure. It handles these subjects by offering architecture upgrades that restructure the functions toward the Edge network.
Drawing on the findings of many mobile network research projects over the past 5 years, we have the ingredients to accelerate development for the xG plan and 5G sovereignty.
08.20.2019
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…
read the publication
10.18.2018
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…
read the publication
11.25.2018
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…
read the publication
12.18.2018
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…
read the publication
