The aim of the TAPIR-CM project (P2018/TCS-4496) is to design architectural solutions for 5th generation (5G) and beyond mobile networks. To this end, the project will leverage as enablers SDN (Software Defined Networking) and network functions virtualization (NFV) to boost the transformation of current networks into softwarecentric paradigm, enabling flexibility and agility in the whole system lifecycle. The second enabler component that the TAPIR-CM project will resort to is machine learning to forecast with high accuracy the behavior and characteristics of data traffic that mobile users will consume to improve the performance of multiple of network functions, including scheduling, mobility management, orchestration and resource allocation, among the others. (I have been coordinator of the proposal writing)
|Period||Jan 2019 – Dec 2022|
|Funding||Comunidad de Madrid (819.950 €)
The main objective of mmMAGIC is to develop and design new concepts for mobile radio access technology (RAT) for deployment in the 6-100 GHz range. This is envisaged as a key component in the 5G multi-RAT ecosystem and will be used as a foundation for global standardization.
|Period||Jul 2015 – Jul 2017|
|Funding||H2020 – 5GPPP|
The ECO-CLOUD project aims to provide an integrated solution to the autonomous energy-efficient management of communication networks and processes in a cloud computing environment.
|Period||Jan 2013 – Nov 2015|
|Funding||FNR Core – Luxembourg|
Collaboration on other projects
- HIRP project: User level traffic prediction in cellular network
- SEARCHLIGHT (ERC Grant): A new communication paradigm for future very high speed wireless networks
- TIGRE5-CM: Integrated technologies for management and operation of 5G networks
- NSF:CRII:SaTC: Energy efficient participatory data collection and Context-Aware Incentives for Trustworthy Crowdsensing via Mobile Social Networks (Clarkson University – NextCon Lab)
- PeopleNET: Socially Aware Networking for Human Cooperation in Mobility (Politecnico di Torino Master Thesis as technical report)
I have been the initiator of both platforms.
- CrowdSenSim: is a discrete-event simulator designed for research use in Mobile Crowdsensing developed at the University of Luxembourg. Its special design allows researches to evaluate performance of smart city services in realistic urban environments.
- openLEON: is an open source muLti-access Edge cOmputiNg end-to-end emulator that operates from the edge data center to the mobile users. openLEON bridges the functionalities of existing emulators for data centers and mobile networks, i.e., Mininet and srsLTE, and makes it possible to evaluate and validate research ideas on all the components of an end-to-end mobile edge architecture.