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NOKIA BELL

4 Projects, page 1 of 1
  • Funder: European Commission Project Code: 101073795
    Overall Budget: 4,202,790 EURFunder Contribution: 4,202,790 EUR

    POLIIICE vision is to advance European LEAs to a novel lawful-interception (LI), investigation and intelligence era in which they will be able to effectively prevent, detect and investigate crime and terrorism amid the new age of communication (5G&Beyond, end-to-end encrypted communication and Quantum based encryption). These new age technologies turn legacy LI solutions to totally in-effective and therefore put significant risk on Europe’s fight against crime and terrorism. POLIIICE will offer, research, validate and demonstrate array of innovative LI measures at cloud & network level as well as at edge device level that together will enable LEAs to efficiently overcome the new age challenges and enable high throughput of its LI. In addition, POLIIICE will research and model QUDDaaS (Quantum unlock, detection and decryption as a service) as an envisaged central service, potentially outsourced at pan EU level, which will harness quantum computing for decryption of lawfully intercepted encrypted communication (which is vulnerable to Quantum’s Shor algorithm), for brute force detection of target-user’s credentials/tokens needed to access encrypted cloud-native apps and for Quantum unlock of lawfully seized edge devices. QUDDaaS may also detect and classify LI communications that are resistant to Quantum decryption power and therefore can’t be decrypted. POLIIICE also aims to improve the information exchange and cooperation among European LEAs by proposing and implementing a mechanism and procedure for exchanging pseudo-anonymized suspect identifiers. POLIIICE is designed for ensuring the cost-effectiveness, security and integrity of the new age LI and will provide the legal and ethical framework for each of its measures while strictly complying with privacy preserving and ethics rules of operation. POLIIICE will contribute to the LI standardization and will recommend EU regulation changes for effective adaptation of POLIIICE vision and innovative LI measures.

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  • Funder: European Commission Project Code: 101017109
    Overall Budget: 4,997,020 EURFunder Contribution: 4,997,020 EUR

    The success of Beyond 5G (B5G) systems will largely depend on the quality of the Network Intelligence (NI) that will fully automate network management. Artificial Intelligence (AI) models are commonly regarded as the cornerstone for NI design; indeed, AI models have proven extremely successful at solving hard problems that require inferring complex relationships from entangled and massive (e.g., traffic) data. However, AI is not the best solution for every NI task; and, when it is, the dominating trend of plugging ‘vanilla’ AI into network controllers and orchestrators is not a sensible choice. Departing from the current hype around AI, DAEMON will set forth a pragmatic approach to NI design. The project will carry out a systematic analysis of which NI tasks are appropriately solved with AI models, providing a solid set of guidelines for the use of machine learning in network functions. For those problems where AI is a suitable tool, DAEMON will design tailored AI models that respond to the specific needs of network functions, taking advantage of the most recent advances in machine learning. Building on these models, DAEMON will design an end-to-end NI-native architecture for B5G that fully coordinates NI-assisted functionalities. The advances to NI devised by DAEMON will be applied in practical network settings to: (i) deliver extremely high performance while making an efficient use of the underlying radio and computational resources; (ii) reduce the energy footprint of mobile networks; and (iii) provide extremely high reliability beyond that of 5G systems. To achieve this, DAEMON will design practical algorithms for eight concrete NI-assisted functionalities, carefully selected to achieve the objectives above. The performance of the DAEMON algorithms will be evaluated in real-world conditions via four experimental sites, and at scale with data-driven approaches based on two nationwide traffic measurement datasets, against nine ambitious yet feasible KPI targets.

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  • Funder: European Commission Project Code: 856709
    Overall Budget: 14,109,200 EURFunder Contribution: 14,109,200 EUR

    The vision of the 5Growth project is to empower verticals industries such as Industry 4.0, Transportation, and Energy with an AI-driven Automated and Sharable 5G End-to-End Solution that will allow these industries to achieve simultaneously their respective key performance targets. Towards this vision, 5Growth will automate the process for supporting diverse industry verticals through (i) a vertical portal in charge of interfacing verticals with the 5G End-to-End platforms, receiving their service requests and building the respective network slices on top, (ii) closed-loop automation and SLA control for vertical services lifecycle management and (iii) AI-driven end-to-end network solutions to jointly optimize Access, Transport, Core and Cloud, Edge and Fog resources, across multiple technologies and domains. The main objective of 5Growth is the technical and business validation of 5G technologies from the verticals’ points of view, following a field-trial-based approach on vertical sites (TRL 6-7). Multiple use cases of vertical industries (Comau, Efacec_S, Efacec_E, Innovalia) will be field-trialed on four vertical-owned sites in close collaboration with the vendors (Ericsson, Interdigital, NEC, Nokia) and the operators (Altice, Telecom Italia, Telefonica) in the project. 5Growth will leverage on the results of 5G-PPP Phase 2 projects where slicing, virtualization and multi-domain solutions for the creation and provisioning of vertical services are being developed and validated, e.g. 5G-TRANSFORMER and 5G-MONARCH. Two ICT-17-2018 5G End-to-End platforms, 5G EVE and 5G-VINNI, have been selected for the Trials to demonstrate the 5Growth specific vertical use cases. In addition to the impact on vertical-oriented standards (e.g., EN50126 (IEC62278) for railway signaling), the verticals in the consortium will be offered an opportunity to influence ongoing 5G standardization by leveraging the involvement of leading experts in the various relevant SDOs.

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  • Funder: European Commission Project Code: 860921
    Overall Budget: 817,932 EURFunder Contribution: 817,932 EUR

    Access to internet, and thus to information, is a basic human right that empowers individuals and communities to achieve their maximum capacity in promoting sustainable development and improving the quality of life. A European Commission study reveals a large gap between broadband internet speed between urban and rural areas due to the low economic profitability of investments for the telecom operator, which is increasingly becoming a knowledge divide. A promising solution to close the gap is to devise high data rate extensions to the 5G LTE technology to provide fixed wireless broadband access in rural areas. The key challenge in accomplishing the required ten-fold (10X) improvement in data rates while maintaining a low power consumption of the home outdoor modem is the design of high-performance transceiver circuits. As conventional design methodologies proves insufficient, we propose a ground-breaking paradigm shift in the implementation of analog/mixed-mode signal processing circuits to fully exploit the benefits offered by highly miniaturized nanometer-scale semiconductor technologies. The SMArT project has the following aims aligned with the aforementioned goal: (i) develop ground-breaking transceiver technologies for 5G and beyond, with immediate emphasis on energy-efficient 10Gb/s home outdoor modem to provide high-speed fixed wireless internet access to rural areas, and (ii) create a platform to train a new generation of innovative researchers through technology development to address the industrial demand for highly skilled researchers required to shape future communication systems. The active collaboration of academia and industry in training activities as well as in technology development will empower the early stage researchers with a unique mix of highly valued transferable research skills and application-focused industry perspective.

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