Data driven sustainable next generation (B5G and 6G) networks for manufacturing and emergency response
6G-DATADRIVEN’s vision is (i) to empower the (r)evolution of the industrial sector towards more secure, resilient, and sustainable manufacturing; and (ii) to bring to the next level the automation and personalized reaction to emergency situations.
To achieve this vision, 6G-DATADRIVEN will realize the full digitalization of manufacturing and emergency support processes and their complete integration with data-driven approaches by (i) designing and incorporating distributed AI/ML tools that exploit the collection and processing of distributed data within edge computing platforms; (ii) the creation of “plug-and-play” solutions to flexibly deploy and operate non-public 5G networks, based on the platforms developed in previous projects; (iii) the development of secure data distribution schemes; (iv) the implementation of AI-based zero-touch network and service management that fully meets the specific needs of smart manufacturing and emergency support environments.
Project Coordinator
Carlos J. Bernardos
University Carlos III of Madrid (UC3M)
Dr. Carlos J. Bernardos (h-index: 39; i10-index: 121; 5975 citations) obtained a degree in Telecommunications Engineering in 2003 and a Phd in Telematics in 2006, both degrees from the Carlos III University of Madrid, where he worked as a research assistant and taught from 2003 to 2008, and where since then, he has worked as an Associate Professor. He teaches different undergraduate and master's courses, including the NFV and SDN Specialist Master. His research interests include IP mobility management, network virtualization, cloud computing, vehicular communications, and experimental evaluation of mobile wireless networks.
He has published over 100 scientific papers in international journals and conferences. He is an active contributor to IETF since 2005, e.g. to AUTOCONF, MEXT, NETEXT, DMM, MULTIMOB, SDNRG, NFVRG, SFC, DHC and COIN working/research groups, being co-author of more than 30 contributions, several standards (RFC 6276, RFC 7028, RFC 7148, RFC 7161, RFC 7333, RFC 7429, RFC 7778, RFC 7864, RFC 8432), several active working group documents, has co-chaired the IETF P2PSIP WG, and currently co-chairs the IPWAVE WG and the Internet Area Directorate (INTDIR).
He visited the University of Cambridge Computing Laboratory in 2004 and the University of Coimbra in 2005. He has worked in several EU-funded projects, being the technical director of the following projects FP7 MEDIEVAL and 5GPPP 5G Exchange (5GEx); 5GPPP Project Coordinator 5G-TRANSFORMERand Deputy Coordinator of the FP7 iJOIN project. He is also the Coordinator of the 5GPPP project. 5Growth.
He has served as a guest editor for IEEE Network and Elsevier Computer Standards and Interfaces, served as local arrangements co-chair of ACM CoNEXT 2008, and has served on the TPC of a number of conferences and workshops including IEEE VTC and IEEE Globecom.
Subprojects
6G-DATADRIVEN-01 Dynamic and agile interconnection between NPN and PNs (for industrial environments)
Oriented to the study of dynamic and agile mechanisms for the interconnection between non-public networks (NPN) and public networks (for industrial environments), exploiting the concept of grid computing. It focuses on identifying components and interfaces to address the grid computing paradigm; designing and implementing mechanisms to support the federation of edge platforms and their integration with networked and cloud infrastructures; designing and implementing mechanisms to support the grid computing paradigm, so that applications and users can consume services according to the serverless model; and contributing to standardization activities related to edge platforms and grid computing.
6G-DATADRIVEN-02 Exploitation of distributed data (in industrial environments)
This project will investigate tools and algorithms that maximize exploiting distributed industrial data, exploiting AI/ML techniques and zero-touch automation. Namely, 6G-DATADRIVEN-02 focuses on the following aspects: which data sources are relevant for industrial application scenarios; defining which data processing architecture and network connectivity is required; implement and validate the communication interface between the data and computational layers; explore and develop the connectivity tools for a secure data distribution; and demonstrate the main concepts via a mobility use case
6G-DATADRIVEN-03 AI as a Service and distributed AI
This project will develop mechanisms that enable AI-as-a-Service, as a key component for the processing of distributed data. Namely, 6G-DATADRIVEN-03 focuses on the following aspects: identify requirements for AI-as-a-Service (AIaaS) in industrial environments; contributions to the design of an AI as a Service solution architecture, aligned with ongoing SDO efforts in B5G and 6G; study of AI/ML strategies that make use of distributed computing platforms at the edge as an enabler for data exploitation; and validation studies of the AI/ML strategies in an environment of digital twins.
6G-DATADRIVEN-04 Enhanced time sensitive, reliable and available (wireless) networks
This project will analyze and design solutions for enhanced time sensitive, reliable and available heterogeneous wireless networks. Namely, 6G-DATADRIVEN-04 focuses on the following aspects: identify the main requirements and required extensions to enhance mechanisms for time sensitive, reliable and available networks that integrate heterogeneous wireless technologies; identify gaps and design improvements to the existing solutions in the context of IEEE TSN, IETF DETNET and IETF RAW solutions to effectively support reliable, available and time sensitive networks that include heterogeneous wireless segments; work on algorithms and protocols to integrate AI in the mechanisms used for TSN/DETNET/RAW; explore the extensions needed to support networks with reliability, availability and extreme latency requirements, that include heterogeneous wireless segments and mobility (of end and intermediate nodes) when considering multiple SDO solutions and architectures (e.g., ETSI MEC and 3GPP Edge aspects up to Rel-17); demonstrate as an initial Proof of Concept the enhanced time sensitive reliable and available (wireless) network over a Rel-17 network.
6G-DATADRIVEN-05 Industrial AI/ML applications based on edge computing platforms
This project will design edge enhancements for industrial AI/ML applications. Namely, 6G-DATADRIVEN-05 focuses on the following aspects: identify main requirements and design required extensions to enhanced mechanisms for industrial AI/ML applications on industrial edge; design a system to allow a holistic view of 5G-connected and legacy-wired industrial devices; demonstrate as an initial Proof of Concept a set of selected mechanisms in an industrial 4.0 use case involving AGVs; communication and dissemination activities of the work performed by the project.
6G-DATADRIVEN-06 Automated data-driven emergency response
This project will analyze and design B5G/6G connectivity mechanisms and interfaces for the secure and standardized distribution of data between wearables and emergency systems, in order to obtain intelligent coordination and complete automation of alerts and emergency monitoring without human intervention. Namely, 6G-DATADRIVEN-06 focuses onthe following aspects: specification of a high level architecture for use of data and AI in emergencies; data pipelining mechanisms and wearable applications to assist the coordination in emergency situations, and its smart orchestration spanning across the whole computing continuum (wearable, edge, mobile network and cloud), under a beyond 5G/6G network; intelligent coordination and automation of processes for emergency situations with the use of wearables and next-generation networks (6G), and exploring AI promising applications for emergencies; and proof of concept, making use of the data pipelining and orchestration devised in the project.
