Open Call 1 Winners
CITYSENS
City Sensing
CITYSENS develops software tools that automate provisioning, deployment and management of end-to-end network slices and services over B5G infrastructures.
B5G networks aim at a fully softwarized network architecture, where hardware and software are used to support automated delivery of optimised network services, while Artificial Intelligence (AI) and Machine Learning (ML) techniques are being increasingly adopted in 5G systems to offer intelligent automation, proactive network management, and resource allocation optimization. In this environment, the role of Management and Orchestration (MANO) is vital to ensure efficient infrastructure utilization and fulfilment of heterogeneous service requirements. Despite the development of various tools and platforms to facilitate MANO in 5G systems, in most cases there is still the need of human intervention and manual input for configuring the 5G elements according to service requirements. In view of this, CITYSENS will build on top of the key technologies and concepts envisioned in 6G-PATH providing a set of software tools that automate provisioning, deployment, management and orchestration of network slices and services offered over B5G networks. This framework can be used to easily deploy, manage, modify, and delete services and functions, while autonomously performing re-configuration actions, without human intervention. The developed framework will provides full lifecycle management (LCM) of the 5G components and associated services, in order to achieve an operational environment with minimal human intervention or manual configuration in accordance to the Zero Touch Networks (ZTN) paradigm.Â
To achieve this functionality, CITYSENS will enhance 6G-PATH testbeds with a set of software components that will allow to:
Host and instantiate various 5G deployment options involving multiple network slices and sophisticated topologies.
Handle LCM operations and manage network slices, leveraging domain NFV Orchestrators (NFVOs) and controllers.
Monitor the entire 5G system collecting a variety of performance measurements for the virtualized network functions and the underlying physical entities.
Take intelligent and fully optimized decisions leveraging AI/ML algorithms.
Figure 1: Proposed Framework: 1) flexible deployment options, 2) Monitoring, 3) Predictive Analytics/Decision Making 4) Automated LCM
Institute of Accelerating Systems and Applications (IASA) | Greece
IASA promotes research and postgraduate studies in the Greek university system. Areas of research focus of IASA over the recent years include 5G and beyond solutions.
Anna Tzanakaki
Associate Professor
IASA / National and Kapodistrian University of Athens
Markos Anastasopoulos
Associate Professor
IASA / National and Kapodistrian University of Athens
Viktoria Alevizaki
Researcher
IASA / National and Kapodistrian University of Athens
BubbleRAN | France
BubbleRAN builds a fully-managed, high-performance, and ready-to-deploy end-to-end 4G/5G+ network at scale that it is simple to use, configure, and manage, exposing valuable business intelligence data about the network state down to the footprint of each individual connected user and devices.
