Rome, Italy
Rome, Italy

Telecom Italia is an Italian telecommunications company which provides landline services, mobile services, and DSL data services. It was founded in 1994 in a merger of several state-owned telecommunications companies, the most important of which was Società Italiana per L'Esercizio Telefonico p.A., known as S.I.P., from the initials of the earlier Società Idroelettrica Piemontese, the former state monopoly telephone operator in Italy. The companies stock is traded in the Borsa Italiana.Telecom Italia, TIM, TIM Brasil, Olivetti, Telecom Italia Sparkle are the main brands of Telecom Italia Group. Wikipedia.


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A method (200) for managing a cellular network (100) is proposed. The cellular network (100) comprises a plurality of macro nodes (105i) defining respective macro cells (105ci) and a plurality of small nodes (110i,j) within said macro cells (105ci). The method (200) comprises, at each current time snapshot of a plurality of time snapshots and for each macro cell (105ci), the following steps: providing (205), according to a history traffic load (Hi,k) of the cellular network (100), an overload probability (i,k) in a first configuration of the cellular network (100) with only macro nodes (105i) activated; identifying (305-310), among said plurality of time snapshots, first candidate time snapshots (LMi) for small nodes (110i,j) deactivation, in each first candidate time snapshot (LMi) the overload probability (Oi,k) being lower than a threshold overload probability (OTHj); and, if (435) the current time snapshot is one among the first candidate time snapshots (LM), deactivating (440) each small node (110i,j) having (430) a current number (NPRBi,j) of allocated radio resources lower than a threshold number (NPRB,THi,j) and being (420) within a macro cell (105ci) currently having no macro (105i) or small (110i,j) nodes in overload condition.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-12-2015 | Award Amount: 4.38M | Year: 2016

SoftFIRE\ partners are aiming at Research and Innovation actions pursuing the integration of existing experimental facilities, testbeds and laboratories into FIRE\. The project focuses on new technologies like SDN and NFV in order to create a reliable, secure, interoperable and programmable experimental network infrastructure within the FIRE\ initiative. The Consortium will federate existing experimental testbeds in order to create an infrastructure that Third Parties can use to develop new services and applications. The federation is a step towards the creation of a new network experimental infrastructure that could be used as an initial 5G oriented platform. The SoftFIRE\ testbed will offer the possibility to assess and improve programmable solutions. In this environment there are three key elements to consider: programmability, interoperability and security. These properties have to be assessed in terms of efficiency, functional responsiveness and in general terms E2E QoS. The main objective of this project is to demonstrate and assess the level of maturity of adopted solutions and to show how they can support the full potential of these properties in a real world infrastructure by creating, nurturing and supporting an ecosystem of Third parties able to make use of the SoftFIRE\ testbed and to functionally extend it. The project aims at creating a broad ecosystem of companies engaged with the evolution of the SoftFIRE\ testbed. In order to achieve this goal, the project will spend a considerable part of its effort and budget for involving Third parties in the usage and consolidation of the platform. The mechanisms envisaged for this are: Open Calls and specific events (like Hackathon, Plug-tests and Challenges). The federated infrastructure will be used in order to a) develop new services and applications from Third parties, and b) develop new platform functionalities.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-30-2015 | Award Amount: 7.33M | Year: 2016

INTER-IoT project is aiming at the design, implementation and experimentation of an open cross-layer framework and associated methodology to provide voluntary interoperability among heterogeneous Internet of Things (IoT) platforms. The proposal will allow developing effectively and efficiently smart IoT applications, atop different heterogeneous IoT platforms, spanning single and/or multiple application domains. The overall goal of the INTER-IoT project is to provide a interoperable framework architecture for seamless integration of different IoT architectures present in different application domains. Interoperability will be provided at different levels: device, network, middleware, services and data. The two application domains and use cases addressed in the project and in which the IoT framework will be applied are m-health and port transportation and logistics. The project outcome may optimize different operations (e.g. increasing efficiency in transportation time; reducing CO2 emission in a port environment; improving access control and safety; improving remote patient attendance and increase the number of subject that surgery units can assist using the mobile devices with the same resources; reducing time spent in hospitals premises or reduce the time dedicated to the assistance activities carried out directly at the surgery with advantage for subjects in charge and also benefits those waiting, i.e. reduction of the waiting list) in the two addresses domains, but it may be extended to other application domains in which there is a need to interconnect different IoT architectures already deployed. The project may deal with interoperability at different layers.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: IoT-01-2016 | Award Amount: 25.43M | Year: 2017

Automated driving is expected to increase safety, provide more comfort and create many new business opportunities for mobility services. The market size is expected to grow gradually reaching 50% of the market in 2035. The IoT is about enabling connections between objects or things; its about connecting anything, anytime, anyplace, using any service over any network. There is little doubt that these vehicles will be part of the IoT revolution. Indeed, connectivity and IoT have the capacity for disruptive impacts on highly and fully automated driving along all value chains towards a global vision of Smart Anything Everywhere. In order to stay competitive, the European automotive industry is investing in connected and automated driving with cars becoming moving objects in an IoT ecosystem eventually participating in BigData for Mobility. AUTOPILOT brings IoT into the automotive world to transform connected vehicles into highly and fully automated vehicle. The well-balanced AUTOPILOT consortium represents all relevant areas of the IoT eco-system. IoT open vehicle platform and an IoT architecture will be developed based on the existing and forthcoming standards as well as open source and vendor solutions. Thanks to AUTOPILOT, the IoT eco-system will involve vehicles, road infrastructure and surrounding objects in the IoT, with a particular attention to safety critical aspects of automated driving. AUTOPILOT will develop new services on top of IoT to involve autonomous driving vehicles, like autonomous car sharing, automated parking, or enhanced digital dynamic maps to allow fully autonomous driving. AUTOPILOT IoT enabled autonomous driving cars will be tested, in real conditions, at four permanent large scale pilot sites in Finland, France, Netherlands and Italy, whose test results will allow multi-criteria evaluations (Technical, user, business, legal) of the IoT impact on pushing the level of autonomous driving.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: IoT-01-2016 | Award Amount: 17.60M | Year: 2017

The SoundCity Project MONICA aims to provide a very large scale demonstration of multiple existing and new Internet of Things technologies for Smarter Living. The solution will be deployed in 6 major cities in Europe. MONICA demonstrates a large scale IoT ecosystem that uses innovative wearable and portable IoT sensors and actuators with closed-loop back-end services integrated into an interoperable, cloud-based platform capable of offering a multitude of simultaneous, targeted applications. All ecosystems will be demonstrated in the scope of large scale city events, but have general applicability for dynamically deploying Smart City applications in many fixed locations such as airports, main traffic arterials, and construction sites. Moreover, it is inherent in the MONICA approach to identify the official standardisation potential areas in all stages of the project. MONICA will demonstrate an IoT platform in massive scale operating conditions; capable of handling at least 10.000 simultaneous real end-users with wearable and portable sensors using existing and emerging technologies (TRL 5-6) and based upon open standards and architectures. It will design, develop and deploy a platform capable of integrating large amounts of heterogeneous, interoperable IoT enabled sensors with different data capabilities (video, audio, data), resource constraints (wearables, Smartphones, Smartwatches), bandwidth (UWB, M2M), costs (professional, consumer), and deployment (wearable, mobile, fixed, airborne) as well as actuators (lights, LED, cameras, alarms, drones, loudspeakers). It will demo end-to-end, closed loop solutions covering everything from devices and middleware with semantic annotations through a multitude of wireless communication channels to cloud based applications and back to actuation networks. Humans-in-the-Loop is demonstrated through integrating Situational Awareness and Decision Support tools for organisers, security staff and sound engineers situation rooms.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-10-2015 | Award Amount: 2.00M | Year: 2016

The project aims at shows the potential of open data to citizens, by creating open playgrounds where citizens, students, experts, start up companies, academia and public institutions can collaborate to generate meaningful applications. Thus, applications that meet citizens needs and desires and contribute to their everyday life. The playground is a virtual and physical place where citizens, interest groups, movements can find a reference to generate new solutions. Likewise fablabs, which are disclosing new opportunities for bottom-up production by manipulating materials, the O4C playgrounds disclose new opportunities in re-using open data. The playgrounds are defined through a series of hackathons involving several stakeholders, including citizens, communities, grassroots groups, students, start-up companies and representatives from public institutions or service providers. Together they work on hackathon cycles, to co-create new solutions for existing or future services based on the use of data. These include but are not limited to the data coming from the existing networks of devices, sensors and microcomputers part of our city infrastructures, and the user-generated data deriving from the citizens voluntary publication of information, positioning data or other personal data. The outcome of the project is therefore the conceptual definition and methodological underpinnings of the O4C playground, and a proof of concept consisting of the innovative solutions generated in the hackathons. The O4C playground is not just a place (the O4C lab) or an event (the hackathon), but an integrated system of engagement, participation and co-design tools that will support the cooperation between the various stakeholders. The social impact of this project does not just lay on the individual solutions developed at the hackathons, but also in the reduced distance between open data and citizens: increasingly data are available and more citizens are empowered to use them.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: SCC-01-2015 | Award Amount: 29.25M | Year: 2016

The objective of REPLICATE is to demonstrate Smart City technologies in energy, transport and ICT in districts in San Sebastia, Florence and Bristol addressing urban complexity and generate replication plans in other districts and in follower cities of Essen, Nilufer and Lausanne. Main challenges for cities are to increase the overall energy efficiency, to exploit better local resources in terms of energy supply and demand side measures. For successful implementation of Smart City technologies two main elements are considered: - Cities are the customer: considering local specificities in integrated urban plans and the need to develop monitoring systems to extract conclusions for replication. - Solutions must be replicable, interoperable and scalable. REPLICATE considers also the complexity of cities, the tangible benefits for citizens, the financial mechanisms and the new business models. The 3 pillars implemented in the pilots with the engagement of citizens, private actors and authorities are: - Low energy districts: cost-effective retrofitting, new constructive techniques with optimal energy behaviour and high enthalpy RES in residential buildings. Include also efficient measures in public and residential buildings: ICT tools, PV, shading or natural ventilation; district heating is demonstrated hybridising local biomass, recovered heat and natural gas. - Integrated Infrastructure: deployment of ICT architecture, from internet of things to applications, to integrate the solutions in different areas. Smart Grids on electricity distribution network to address the new challenges, connecting all users: consumers, producers, aggregators and municipality. Intelligent lighting will allow automated regulation of the amount of light and integration of IP services via PLC. - Urban mobility: sustainable and smart urban bus service, electric urban bike transport, 3-wheeler delivery and transport services, deployment of EV charging infrastructures and ICT tools.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-14-2016-2017 | Award Amount: 7.07M | Year: 2017

Information technology has driven, directly or indirectly, much of Europes economic growth during the last decades as the role of data transitioned from the support of business decisions to becoming a good in itself. An open approach towards data value creation has become critical in the new networked economy, with Europe well placed to nurture this new revolution. However, to date Europes data economy has yet to achieve the same levels of growth as those in the US and Asia. Data Pitch will seek to address this critical gap by creating a transnational, Europe-wide data innovation ecosystem that will bring together data owners and Big Data technology providers, with startups and SMEs with fresh ideas for data-driven products and services. Our project will: - explore the critical factors that impact the way organisations create value from sharing data; - organise a competition addressing economic, societal, and environmental challenges, present and future, to identify promising digital innovators and data-empowered solutions; - create a cross-sectoral, secure data experimentation facility which will offer the winners of this competition a purposeful environment to nurture their ideas; and - support them by solving common concerns through funding, technical, legal, marketing, and commercial assistance. Drawing on the experience from key players in the consortium, we will establish a European Data Innovation Lab (DIL), guided and promoted by the hugely visible engagement channels and commentators at the Guardian and an international network of hundreds of organisations that have already confirmed their intention to join forces with and support Data Pitch. Together with them we will make the European data economy stronger and help the region re-gain leadership in innovation through digital transformation.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-10-2016 | Award Amount: 5.03M | Year: 2017

The demand for larger and more interconnected software systems is constantly increasing, but the ability of developers to satisfy it is not evolving accordingly. The most limiting factor is software validation, which typically requires very costly and complex testing processes. This project aims at significantly improving the efficiency and effectiveness of the testing process and, with it, the overall quality of large software systems. For this, we propose to apply the divide-and-conquer principle, which is commonly used for architecting complex software, to testing by developing a novel test orchestration theory and toolbox enabling the creation of complex test suites as the composition of simple testing units. This test orchestration mechanism is complemented with a number of tools that include: (1) Capabilities for the instrumentation of the Software under Test enabling to reproduce real-world operational conditions thanks to features such as Packet Loss as a Service, Network Latency as a Service, Failure as a Service, etc. (2) Reusable testing services solving common testing problems including Browser Automation as a Service, Sensor Emulator as a Service, Monitoring as a Service, Security Check as a Service, Log Ingestion and Analysis as a Service, Cost Modeling as a Service, etc. (3) Cognitive computing and machine learning mechanisms suitable for ingesting large amounts of knowledge (e.g. specifications, logs, software engineering documents, etc.) and capable of using it for generating testing recommendations and answering natural language questions about the testing process. The ElasTest platform thus created shall be released basing on a flexible Free Open Source Software and a community of users, stakeholders and contributors shall be grown around it with the objective of transforming ElasTest into a worldwide reference in the area of large software systems testing and of guaranteeing the long term sustainability of the project generated results.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-01-2016 | Award Amount: 4.91M | Year: 2017

Cyber-Physical Systems (CPS) find applications in a number of large-scale, safety-critical domains e.g. transportation, smart cities, etc. While the increased CPS adoption has resulted in the maturation of solutions for CPS development, a single consistent science of system integration for CPS has not yet been consolidated. Therefore CPS development remains a complex and error-prone task, often requiring a collection of separate tools. Moreover, interactions amongst CPS might lead to new behaviors and emerging properties, often with unpredictable results. Rather than being an unwanted byproduct, these interactions can become an advantage if explicitly managed since early design stages. CPSwarm tackles this challenge by proposing a new science of system integration and tools to support engineering of CPS swarms. CPSwarm tools will ease development and integration of complex herds of heterogeneous CPS that collaborate based on local policies and that exhibit a collective behavior capable of solving complex, industrial-driven, real-world problems. The project defines a complete toolchain that enables the designer to: (a) set-up collaborative autonomous CPSs; (b) test the swarm performance with respect to the design goal; and (c) massively deploy solutions towards reconfigurable CPS devices. Model-centric design and predictive engineering are the pillars of the project, enabling definition, composition, verification and simulation of collaborative, autonomous CPS while accounting for various dynamics, constraints and for safety, performance and cost efficiency issues. CPSwarm pushes forward CPS engineering at a larger scale, with an expected significant reduction of development time and costs. Project results will be tested in real-world use cases in 3 different domains: swarms of Unmanned Aerial Vehicles and Rovers for safety and security purposes; autonomous driving for freight vehicles; and swarm of opportunistically collaborating smart bikes.

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