Autonomous Networks Beyond 5G
The advent of 5G networks brings the opportunity to deploy new services in the network. Each service and/or network slice may require specific resources from the network. When moving towards scenarios B5G, the network will deliver any service that end users or applications request with certain guarantees by consuming network resources. This means that the network must be able to provide such adaptation capabilities, relating the requested services to the specific underlying network resources that are offered. These network resources need to be orchestrated in order to provide multi-layer multi-domain services
Fostering an Open Networking environment, TeraFlow will follow a pragmatic approach to leverage operator-driven workflows (transport network slices that provide L2 and L3 services) to fix integration issues in commercial networks.
This use case will demonstrate a highly distributed TeraFlow deployment on top of heterogeneous geo-distributed SDN sites located in Spain and Athens. In addition, it will validate the multi-technology capabilities of the TeraFlow OS based on standard interfaces, operational configurations with rollbacks, racing conditions, and NOS lifecycle management.
The automotive industry is evolving towards a vision where cars are becoming autonomous and wirelessly connected to cooperate with each other for safer and more efficient driving. Today, the majority of safety and efficiency features in vehicles are supported by the on-board sensors, which are limited to visual line-of-sight. Connectivity offers a good complement to the on-board sensors by extending vision and detection range even when visual line-of-sight is not available, while deploying cooperative, connected, and automated mobility (CCAM) services.
For this purpose, it is necessary that the telecom and the automotive industry cooperate to shape the future by addressing all the challenges that CCAM brings. From a telecom perspective, in addition to the wireless connectivity to the connected cars, it is also required to deploy MEC and cloud infrastructure along the transport network to host the CCAM applications such as tele-operated driving (ToD), high-definition map generation and distribution, and anticipated cooperative collision avoidance (ACCA).
This use case will be implemented on the CTTC testbed. It is composed of an end-to-end SDN/NFV packet/optical transport network with a cloud/edge computing infrastructure platform and a vehicle platform composed of road site units (RSU) and a CAR PC system to emulate connected cars. The CTTC testbed spans across access and aggregation segments, a metro segment and a core segment and reflects the fact that distributed data centres also span the overall infrastructure, having locations either close to the vehicle or in central locations.
When an operator moves towards an automated environment, security becomes key as network operations are done by software components virtually operating without human intervention or oversight. Moreover, the pervasive softwarization of the network and infrastructure components is further increasing their attack surface. Indeed, security should undergo a similar technological evolution in order to enable the resilience of SDN controllers, the automation of security policies over the network, the use of ML to detect attacks, the utilization of DLT to assure configuration and forensic capacity, and the deployment of NFV security functions.
This use case defines several scenarios of resilience and cybersecurity-related to a 5G compliant Telecom network infrastructure. Different types of attacks, as well as protection and mitigation techniques, will be covered to validate the TeraFlow OS capabilities at an operator network digital twin Laboratory. This laboratory is a controlled environment located in Spain for running experiments that allow the deployment of complex network scenarios in a controlled way under realistic traffic and events.