5G-IANA: A 5G Experimentation Platform for Intelligent Automotive Network Applications

• Main Authors: Vasilis Sourlas, Konstantinos Katsaros, Athanasios Xirofotos, Dimitrios Klonidis, Edoardo Bonetto, Daniele Brevi, Roberto Scopigno, Francesca Moscatelli, Markus Wimmer, Birger Haetty, Stephan Schulz, Amr Rizk, Michael Buchholz, Angelos Amditis
• Format: Conference Object
• Language: English
• Published: 2021
• Subjects: #5GIANA #AOEP #Netapp #DML #automotive; DML
• Online Access: https://zenodo.org/record/6861163; https://doi.org/10.5281/zenodo.6861163

This paper presents the development of an open 5G experimentation platform, on top of which third-party experimenters (i.e., SMEs) in the Automotive sector will have the opportunity to develop, deploy and test their services. An Automotive Open Experimental Platform (AOEP) is specified, as a set of hardware and software resources that provides the compute and communication/transport infrastructure as well as the management and orchestration components, coupled with an enhanced Network Application (NetApp) Toolkit tailored to the Automotive sector. The platform exposes secure and standardized APIs to experimenters, to facilitate the different steps towards the production stage of a new automotive service. The platform, being part of the H2020 5G-IANA project, targets different MANO solutions integrating a range of virtualization technologies for enabling the deployment of the end-to-end network services across domains (vehicles, road infrastructure, MEC nodes and cloud resources). The NetApp toolkit is linked with a new Automotive VNFs Repository equipped with an extended list of ready-to-use, open, accessible Automotive-related VNFs and NetApp templates, that forms a repository for SMEs to use and develop new applications. A distributed AI/ML (DML) framework as part of the platform provides functionalities for simplified management and orchestration of collections of AI/ML service components allowing ML-based applications to penetrate the Automotive world.