
COGNITIVE INNOVATIONS PRIVATE COMPANY
COGNITIVE INNOVATIONS PRIVATE COMPANY
3 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2025Partners:Carlos III University of Madrid, SIMAVI, COGNITIVE INNOVATIONS PRIVATE COMPANY, GESTAMP SERVICIOS SA, CNR +10 partnersCarlos III University of Madrid,SIMAVI,COGNITIVE INNOVATIONS PRIVATE COMPANY,GESTAMP SERVICIOS SA,CNR,TELEFONICA INNOVACION DIGITAL SL,UPC,AUSTRALO Alpha Lab MTÜ,Nextworks (Italy),IMC,ATOS IT,ERICSSON ESPANA SA,NOKIA SOLUTIONS AND NETWORKS KFT,POLITO,Telefonica Research and DevelopmentFunder: European Commission Project Code: 101095890Overall Budget: 6,082,690 EURFunder Contribution: 5,681,350 EUR6G is envisioned to accelerate the path started in 5G for catering to the needs of a wide variety of vertical use cases, both current and emerging. This will require major enhancements of the current 5G capabilities especially in terms of bandwidth, latency, reliability, security, and energy. PREDICT-6G’s mission is therefore set towards the development of an end-to-end 6G (E2E) solution including architecture and protocols that can guarantee seamless provisioning of services for vertical use cases requiring extremely tight timing and reliability constraints. To succeed, the solution will target determinism network infrastructures at large, including wired and wireless segments and their interconnections. PREDICT-6G will develop a novel Multi-technology Multi-domain Data-Plane (MDP) overhauling the reliability and time sensitiveness design features existing in current wired and wireless standards. The ambition is for the MDP design to be inherently deterministic. To achieve this, PREDICT-6G will develop an AI-driven Multi-stakeholder Inter-domain Control-Plane (AICP) for the provisioning of deterministic network paths to support time sensitive services as requested by end-customers and with different scaling ambitions, e.g., from the network in a single vehicle to a large, geographically dispersed network. This requires timely monitoring and prediction of the behavior of the complete network, including identifying potential sources of quality violations and analyzing various routes of the traffic flows. These capabilities will be delivered through the PREDICT-6G AI-powered Digital Twin (DT) framework, allowing the prediction of the behavior of the end-to-end network infrastructure, and enabling anticipative control and validation of the network provisions to meet the real-world time-sensitive and reliability requirements of the running services.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2024Partners:FIVECOMM, OSEVEN PC, VICOM, FONDAZIONE LINKS, UBITECH LIMITED +12 partnersFIVECOMM,OSEVEN PC,VICOM,FONDAZIONE LINKS,UBITECH LIMITED,INTERNET INSTITUTE LTD,ICCS,HYPERTECH AE,INCITES CONSULTING SA,BYLOGIX,Nextworks (Italy),COGNITIVE INNOVATIONS PRIVATE COMPANY,Telekom Slovenije (Slovenia),FSCOM,University of Ulm,NSN,HIT HYPERTECH INNOVATIONS LTDFunder: European Commission Project Code: 101016427Overall Budget: 7,628,440 EURFunder Contribution: 5,999,970 EUR5G-IANA aims at providing an open 5G experimentation platform, on top of which third party experimenters (i.e., SMEs) in the Automotive-related 5G-PPP vertical will have the opportunity to develop, deploy and test their services. An Automotive Open Experimental Platform (AOEP) will be specified, as the whole 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 NetApp Toolkit tailored to the Automotive sector. 5G-IANA will expose to experimenters secured and standardized APIs for facilitating all the different steps towards the production stage of a new service. 5G-IANA will target different virtualization technologies integrating different MANO frameworks for enabling the deployment of the end-to-end network services across different domains (vehicles, road infrastructure, MEC nodes and cloud resources). 5G-IANA NetApp toolkit will be linked with a new Automotive VNFs Repository including an extended list of ready to use open accessible Automotive-related VNFs and NetApp templates, that will form a repository for SMEs to use and develop new applications. Finally, 5G-IANA will develop a distributed AI/ML (DML) framework, that will provide functionalities for simplified management and orchestration of collections of AI/ML service components and will allow ML-based applications to penetrate the Automotive world, due to its inherent privacy preserving nature. 5G-IANA will be demonstrated through 7 Automotive-related use cases in 2 5G SA testbeds. Moving beyond technological challenges, and exploiting input from the demonstration activities, 5G-IANA will perform a multi-stakeholder cost-benefit analysis that will identify and validate market conditions for innovative, yet sustainable business models supporting a long-term roadmap towards the pan-European deployment of 5G as key advanced Automotive services enabler.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2025Partners:FHG, Robert Bosch (Germany), Sony Europe B.V., AAU, APPLE TECHNOLOGY ENGINEERING BV & CO KG +6 partnersFHG,Robert Bosch (Germany),Sony Europe B.V.,AAU,APPLE TECHNOLOGY ENGINEERING BV & CO KG,COGNITIVE INNOVATIONS PRIVATE COMPANY,ANITE TELECOMS OY,UMH,IMEC,NOKIA SOLUTIONS AND NETWORKS DANMARK AS,CNITFunder: European Commission Project Code: 101095738Overall Budget: 5,097,280 EURFunder Contribution: 4,667,180 EURThe 6G-SHINE project will pioneer the main technology components for in-X wireless subnetworks, short range low power radio cells to be installed in a wide set of vertical and consumer entities like robots, vehicle, production modules, classrooms, for the sake of supporting extreme communication requirements in terms of latency, reliability, or data rates. 6G-SHINE will leverage the opportunities offered by the peculiar deployment characteristics of such short range subnetworks, for a highly performant yet cost-efficient radio design that allow to bring wireless connectivity to a lever of pervasiveness which has never been experienced earlier. 6G-SHINE copes with topics "New IoT components and devices" and "New physical layers and associated protocols" of strand B-01-03 in the SNS work programme. Research will span physical layer, medium access control protocols, radio resource management of these in-X subnetworks, as well as connection with a broader 6G 'network of networks'. The performance of the designed solutions will be analyzed via simulations, and -for selected technologies- over demonstrator platforms. The project will result in a broad set of technology solutions that will be disseminated via scientific publications. Also, the designed solutions will be brought to future 6G standardization, and will be used in future telecommunication equipment and networks. The consortium consists of 12 partners that together bring essential expertise to each of the identified technologies with a mixture of academic institutions and industry players with a strong research department, representing the essential parts of the value chain of wireless short range communications.
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