6GV2: 6G Platform, Intelligence and Trust
Thursday, 10 June 2021, 9:30-11:00, Zoom Room
Session Chair: Volker Ziegler (Nokia Bell Labs, Germany)
Int5Gent: An Integrated End-To-End System Platform for Verticals and Data Plane Solutions Beyond 5G
Dimitrios Klonidis (UBITECH, Greece); Dimitrios Apostolopoulos (National Technical University of Athens & Institute of Communication and Computer Systems, Greece); Georgios Katsikas (Ubitech, Greece); Giannis Giannoulis, Konstantinos Tokas and Konstantina Kanta (National Technical University of Athens, Greece); Thanos Xirofotos (UBITECH, Greece); Raul Muñoz (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Spain); Francesca Moscatelli (Nextworks, Italy); Guy Torfs (Ghent University & Imec, Belgium); Christos Vagionas (Aristotle University of Thessaloniki, Greece); David Larrabeiti (Universidad Carlos III de Madrid, Spain); Zhongxia Simon He (SINOWAVE, Sweden); Janez Sterle (INTERNET INSTITUTE Ltd, Slovenia); Dotan Levi (NVIDIA, Israel); George Lyberopoulos (COSMOTE Mobile Telecommunications S.A., Greece); Victor Lopez (Telefonica, Spain); Eleni Trouva (INTRASOFT International, Greece); Yigal Leiba (Siklu Communications Ltd., Israel); Xavi Vilajosana (Worldsensing, Spain); Carles Terés (Ferrocarrils de la Generalitat de Catalunya, Spain); Hercules Avramopoulos (National Technical University of Athens, Greece)
Int5Gent targets the integration of innovative data plane technology building blocks under a flexible 5G network resource, slice and application orchestration framework, providing a complete 5G system platform for the validation of advance 5G services and IoT solutions. The platform can act as the enabler for the transition beyond the current 5G networking capabilities allowing novel and state-of-the-art data transport and edge processing solutions to be evaluated under a cutting-edge network orchestration framework, with intelligent service allocation and management capabilities. A sample of the envisioned technologies include: flexible multi-RAT baseband signal processing, mmWave technology solutions at 60GHz and 150GHz bands, hardware-based edge processor with TSN, GPU processing capabilities, and elastic SDN-based photonic data transport. The integration of the technology blocks is performed as part of an overall architecture that promotes edge processing and is orchestrated by an NFVO compatible framework with edge node extensions at the network layer and an overlay vertical services application orchestrator at the user plane layer. The overall platform is deployed over two extended testbeds which include actual field deployed segments while validation and showcasing is planned with 3 advanced use case covering a number of deployment service scenarios related to multiple vertical sectors as well as innovative applications for smart IoT networked devices, highlighting the benefits of the adopted technologies in terms of increased bandwidth, low latency and high reliability.
AI@EDGE: A Secure and Reusable Artificial Intelligence Platform for Edge Computing
Roberto Riggio (RISE Research Institute of Sweden, Sweden); Estefania Coronado (Fundació i2CAT, Internet i Innovació Digital a Catalunya, Spain); Neiva Linder (Ericsson Research, Sweden); Adzic Jovanka (Telecom Italia S.p.A., Italy); Gianpiero Mastinu (Politecnico di Milano, Italy); Leonardo Goratti (Zodiac Aerospace, Germany); Miguel Rosa (Aerotools, Spain); Hans Dieter Schotten (Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Germany); Marco Pistore (FBK, Italy)
Artificial Intelligence (AI) has become a major innovative force and a major pillar in the fourth industrial revolution. This trend has been acknowledged by the European Commission, who has pointed out how high-performance, intelligent, and secure networks are fundamental for the evolution of the multi-service Next Generation Internet (NGI). While great progress has been done in the accuracy and performance of AI-enabled platforms, their integration in autonomous decision-making and critical systems requires end-to-end quality assurance. AI@EDGE addresses these challenges harnessing the concept of “reusable, secure, and trustworthy AI for network automation”. To this end, AI@EDGE targets significant breakthroughs in two fields: (i) general-purpose frameworks for closed-loop network automation capable of supporting flexible and programmable pipelines for the creation, utilization, and adaptation of the secure, reusable, and trustworthy AI/ML models; and (ii) converged connect-compute platform for creating and managing resilient, elastic, and secure end-to-end slices supporting a diverse range of AI-enabled network applications. Cooperative perception for vehicular networks, secure, multi-stakeholder AI for Industrial Internet of Things, aerial infrastructure inspections, and in-flight entertainment are the uses cases targeted by AI@EDGE to maximise its commercial, societal, and environmental impact.
AI and 6G Security: Opportunities and Challenges
Yushan Siriwardhana and Pawani Porambage (University of Oulu, Finland); Madhusanka Liyanage (University College Dublin, Ireland & University of Oulu, Finland); Mika E Ylianttila (University of Oulu, Finland)
While 5G is well-known for network cloudification with micro-service based architecture, the next generation networks or the 6G era is closely coupled with intelligent network orchestration and management. Hence, the role of Artificial Intelligence (AI) is immense in the envisioned 6G paradigm. However, the alliance between 6G and AI may also be a double-edged sword in many cases as AI’s applicability for protecting or infringing security and privacy. In particular, the end-to-end automation of future networks demands proactive threats discovery, application of mitigation intelligent techniques and making sure the achievement of self-sustaining networks in 6G. Therefore, to consolidate and solidify the role of AI in securing 6G networks, this article presents how AI can be leveraged in 6G security, possible challenges and solutions.
6G Security Challenges and Potential Solutions
Pawani Porambage (University of Oulu, Finland); Gürkan Gür (Zurich University of Applied Sciences (ZHAW), Switzerland); Diana Pamela Moya Osorio (University of Oulu, Finland); Madhusanka Liyanage (University College Dublin, Ireland & University of Oulu, Finland); Mika E Ylianttila (University of Oulu, Finland
Although the fifth generation wireless networks are yet to be fully investigated, the vision and key elements of the 6th generation (6G) ecosystem have already come into discussion. In order to contribute to these efforts and delineate the security and privacy aspects of 6G networks, we survey how security may impact the envisioned 6G wireless systems with the possible challenges and potential solutions. Especially, we discuss the security and privacy challenges that may emerge with the 6G requirements, novel network architecture, applications and enabling technologies including distributed ledger technologies, physical layer security, distributed artificial intelligence (AI)/ machine learning (ML), Visible Light Communication (VLC), THz bands, and quantum communication.
