GOAL: to detect which technologies are being used in an area; to analyze trade-offs between on-board processing and cloud-based solutions
Co-Advisor: Riccardo Bassoli (TU Dresden) - GOAL: to design and simulate technologies for cloud radio access network and edge computing for HAPs
Marco Centenaro (Athonet)
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
Prof. Francesco De Pellegrini (Univ. of Avignon, France)
GOAL: to apply AI/ML to a simulated copy of a "real network" using the concept of Network Digital Twin.
GOAL: to generate a 3D model of a city area and to emulate communications via ray tracing
Rawlings 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.