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.
03.20.2019
One of the cornerstones of the cloud provider business is to reduce hardware resources cost by maximizing their utilization. This is done through smartly sharing processor, memory, network and storage, while fully satisfying SLOs negotiated with customers. For the storage part, while SSDs are increasingly deployed in data centers mainly for their performance and energy efficiency, their internal…
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06.01.2021
A novel access control method via smart contracts for internet-based service provisioning
The dramatic rise in internet-based service provisioning has highlighted the importance of deploying scalable access control methods, facilitating service authorization for eligible users. Existing centralized methods suffer from single-point-of-failure, low scalability, and high computational overhead. In addition, in these methods, users pay for the service provider as well as the network…
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06.18.2021
Efficient System Capacity User Selection Algorithm in MU-MIMO
Radio resource allocation is a major research field in wireless networks. The main challenge is to find the most suitable user for each time and frequency resource to ensure the Quality of Service (QoS) requirements. The use of Massive Multiple-Input-Multiple-Output (MIMO) makes it possible to simultaneously schedule several users on the same time and frequency resources. This is a new paradigm…
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04.16.2021
Considering Sync Word and Header Error Rates for Performance Assessment in LoRa System
This paper deals with a general and complete analysis of the frame error rate in LoRa system, not only considering the payload error rate, but also the sync word (carrying network information) and the header (carrying control information) error rates. It is proved that, in the high signal-to-noise ratio (SNR) range, it is more likely to reject a LoRa frame due to an erroneous sync word estimation…
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