H2020FP7HORIZON
Huawei Technologies Duesseldorf GmbH
- Country
- DEGermany
- Defence projects
- 0
- Projects, all programmes
- 38
- As coordinator
- 0
- EU contribution (CORDIS)
- EUR 17,436,967
- Active
- 2008 to 2024
Projects
38 projects, newest first
| Project | Programme | Year | Role | EU contribution |
|---|---|---|---|---|
| EXIGENCEDevise & explore a novel approach for energy consumption and carbon footprint reduction of ICT services in the era of next-generation mobile telecommunications (6G) | HORIZON | 2024 | Participant | EUR 429,075 |
| DUCAData Usage Control for empowering digital sovereignty for All citizens | HORIZON | 2023 | Participant | EUR 207,000 |
| ADOPTIONAdvance co-packaged optics enabling high-efficiency cloud computing | HORIZON | 2023 | Participant | EUR 310,625 |
| SCIONSecured and Intelligent Massive Machine-to-Machine Communications for 6G | HORIZON | 2023 | Participant | EUR 260,539 |
| TIMESTHz Industrial Mesh Networks in Smart Sensing and Propagation Environments | HORIZON | 2023 | Participant | EUR 721,125 |
| CONNECTContinuous and Efficient Cooperative Trust Management for Resilient CCAM | HORIZON | 2022 | Participant | EUR 372,500 |
| DECICEDevice-Edge-Cloud Intelligent Collaboration framEwork | HORIZON | 2022 | Participant | EUR 475,416 |
| TRUST-PVIncrease Friendly Integration of Reliable PV plants considering different market segments | H2020 | 2020 | Participant | EUR 702,800 |
| FUDGE-5GFUlly DisinteGrated private nEtworks for 5G verticals | H2020 | 2020 | Participant | EUR 275,800 |
| CiViQContinuous Variable Quantum Communications | H2020 | 2018 | Participant | EUR 450,000 |
| BigMedilyticsBig Data for Medical Analytics | H2020 | 2018 | Participant | EUR 366,188 |
| 5G-VINNI5G Verticals INNovation Infrastructure | H2020 | 2018 | Participant | EUR 1,053,188 |
| 5GCroCoFifth Generation Cross-Border Control | H2020 | 2018 | Participant | EUR 714,935 |
| FutureTPMFuture Proofing the Connected World: A Quantum-Resistant Trusted Platform Module | H2020 | 2018 | Participant | EUR 364,875 |
| ONE5GE2E-aware Optimizations and advancements for the Network Edge of 5G New Radio | H2020 | 2017 | Participant | EUR 632,500 |
| 5GCARFifth Generation Communication Automotive Research and innovation | H2020 | 2017 | Participant | EUR 908,600 |
| AUTOPILOTAUTOmated driving Progressed by Internet Of Things | H2020 | 2017 | Participant | EUR 189,569 |
| 5G-MoNArch5G Mobile Network Architecture for diverse services, use cases, and applications in 5G and beyond | H2020 | 2017 | Participant | EUR 580,464 |
| 5G-PICTURE5G Programmable Infrastructure Converging disaggregated neTwork and compUte REsources | H2020 | 2017 | Participant | EUR 459,917 |
| M2DCModular Microserver DataCentre | H2020 | 2016 | Participant | EUR 848,750 |
The country is the one the source records for the organisation’s registration (its PIC), and each profile says what it rests on. Where the record contradicts itself (the address in one country, the site name and the VAT number in another) we follow the two that agree: the Spanish research council CSIC is shown under Spain although its address is recorded in Italy. A body with sites in several countries is shown under the first of them in alphabetical order, and its profile lists the others. Beyond that we do not guess.
Where this comes from
- CORDIS: EU research projects (Horizon Europe, Horizon 2020, FP7)Last read on . Licence: Commission Decision 2011/833/EU (reuse of Commission documents). Source: CORDIS, European Commission.Participants and amounts as the Commission's CORDIS database states them (reuse under Commission Decision 2011/833/EU).
EU contribution is the amount CORDIS's open data pays to the participant. For a participant with linked third parties it may include their share (the CORDIS page prints the net); an amount the data does not hold is left out, not counted as zero. EDF factsheets state none per participant, so EDF projects count as projects but add nothing to the amounts.
Organisation-level facts only: a name, a country, a role, an amount, a year. A participant is recognised by its PIC where the source gives one, otherwise by name; the page says which. How the data is built.
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