GOAL: to detect which technologies are being used in an area; to analyze trade-offs between on-board processing and cloud-based solutions
Spectrum Sensing, Access and Coexistence Testbed for Cognitive Radio using USRPCo-Advisor: Riccardo Bassoli (TU Dresden) - GOAL: to design and simulate technologies for cloud radio access network and edge computing for HAPs
Reference n.1 Reference n.2Marco Centenaro (Athonet)
Athonet S.r.l.Marco Centenaro (Athonet)
Athonet S.r.l.Marco Centenaro (Athonet)
Athonet S.r.l.Marco Centenaro (Athonet)
Athonet S.r.l.GOAL: to deploy a container-based architecture to perform KPI measurements in a 5G Service Based Architecture scenario
GOAL: to define algorithms capable of enabling energy-aware MEC operation, e.g. in presence of renewable energy sources
GOAL: to build a framework for analyzing the energy consumption of a virtualized infrastructure
Marco Centenaro (Athonet)
Athonet S.r.l.Prof. Francesco De Pellegrini (Univ. of Avignon, France)
Thesis descriptionGOAL: to apply AI/ML to a simulated copy of a "real network" using the concept of Network Digital Twin.
Network Digital TwinsGOAL: to generate a 3D model of a city area and to emulate communications via ray tracing
Unreal Engine SiennaRawlings Ntassah, GOAL: The goal of this project is to analyze an energy-efficient way of deploying and managing the O-RAN.
Rawlings Ntassah, GOAL: To develop an xApp for RAN slicing and resource allocation
Rawlings Ntassah, GOAL: The goal is to develop AI/ML techniques to optimize RAN functionality for closed-loop RAN management.