SEMANTIC · end-to-end Slicing and data-drivEn autoMAtion of Next generation cellular neTworks with mobIle edge Clouds
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2020-01-01 → 2024-07-31
- Финансиране от ЕС
- 3 917 316 €
- Участници
- 10
- Схема
- MSCA-ITN
Линиите свързват координатора с партньорите.
Накратко на български
Мобилните мрежи от следващо поколение се изследват чрез автоматизиране на управлението им и разделянето на мрежови ресурси (slicing) за различни услуги. Това помага за пълното използване на възможностите на 5G технологиите при минимална човешка намеса.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
end-to-end Slicing and data-drivEn autoMAtion of Next generation cellular neTworks with mobIle edge Clouds
SEMANTIC “end-to-end Slicing and data-drivEn autoMAtion of Next-generation cellular neTworks with mobIle edge Clouds", aimed to create an innovative research and training network for multi-GHz spectrum communications, MEC-empowered service provisioning, and end-to-end network slicing, all integrated and jointly orchestrated by forward-looking data-driven network control and automation exploiting the enormous amounts of big data spurred into the the telecommunications network. The 5G and beyond mobile network architecture, which is currently consolidated (in terms of network components, technologies and interfaces), reveals a great network performance potential, appealing to different vertical market players. However, this potential cannot be fully harnessed without the appropriate algorithmic innovations and data-driven network automation that will permit full exploitation, global management and end-to-end integration of all the heterogeneous network components and resources. However, despite the rapidly increasing efforts devoted to the consolidation of the core 5G technologies (e.g. 5GPPP phase 2/3 projects), substantial work is still required to meet the IMT-2020 objectives set for the 5G network performance and fully harness the multitude of technological capabilities offered by 5G with minimum human intervention (e.g. through intelligent network automation and control). SEMANTIC aimed to answer the aforementioned performance and technological gaps by forming an innovative research and training network for multi-GHz spectrum communications, MEC-empowered service provisioning and end-to-end network slicing, all integrated and jointly orchestrated by forward-looking data-driven network control and automation exploiting the enormous amounts of mobile big data spurred into the mobile data network. In this context, SEMANTIC formed an integrated, multi-disciplinary training network of Early Stage Researchers (ESRs), guided by experienced supervisors, aiming at the creation of highly-trained academic researchers and industrial professionals with a future-proof background on PHY design for multi-GHz communications, end-to-end MEC/RAN integration, slice-enabled connectivity and data-driven network orchestration in the 5G continuum. SEMANTIC aimed to contribute to structuring doctoral/early-stage research training at the European level and to strengthening European innovation capacity. SEMANTIC created a new generation of experts capable of understanding in-depth, planning and employing emerging 5G and beyond architectures, concepts, technologies, processes and tools (e.g., data analysis, ML, OAI) for the e2e optimization of 5G-enabled and beyond services and networks.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
-The 5G mobile network architecture, which is currently consolidated (in terms of network components, technologies and interfaces), reveals a great network performance potential, appealing to different vertical market players. However, this potential cannot be fully harnessed without the appropriate algorithmic innovations and data-driven network automation that will permit full exploitation, global management and end-to-end integration of all the heterogeneous network components and resources. However, despite the rapidly increasing efforts devoted to the consolidation of the core 5G technologies(e.g. 5GPPP phase 2/3 projects), substantial work is still required to meet the IMT-2020 objectives set for the 5G network performance and fully harness the multitude of technological capabilities offered by 5G with minimum human intervention (e.g. through intelligent network automation and control). SEMANTIC aims to answer the aforementioned performance and technological gaps by forming an innovative research and training network for multi-GHz spectrum communications, MEC-empowered service provisioning and end-to-end network slicing, all integrated and jointly orchestrated by forward-looking data-driven network control and automation exploiting the enormous amounts of mobile big data spurred into the mobile data network. In this context, SEMANTIC will form an integrated, multi-disciplinary training network of Early Stage Researchers (ESRs), guided by experienced supervisors, aiming at the creation of highly-trained academic researchers and industrial professionals with a future-proof background on PHY design for multi-GHz communications, end-to-end MEC/RAN integration, slice-enabled connectivity and data-driven network orchestration in the 5G continuum.
Оригинален текст от CORDIS (на английски).
Участници
- ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON · ATHINAКоординаторГърция
- CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA · Castelldefels BarcelonaИспания
- CHALMERS TEKNISKA HOGSKOLA AB · GoteborgШвеция
- EURECOM GIE · BiotФранция
- FOGUS INNOVATIONS & SERVICES P.C. · KAISAIRIANIГърция
- IQUADRAT INFORMATICA SL · BarcelonaИспания
- NATIONAL INSTRUMENTS DRESDEN GMBH · DresdenГермания
- NOKIA NETWORKS FRANCE · MassyФранция
- POLITECNICO DI TORINO · TorinoИталия
- TELENOR SVERIGE AKTIEBOLAG · SolnaШвеция
Връзки
- Виж в CORDIS
- DOI: 10.3030/861165
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e507efbac5&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e507efc293&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e507efd305&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50bcd8669&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50fdcc818&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50fdce676&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5d18f236f&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5def7c30a&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5df2b6695&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5df2b73a3&appId=PPGMS
Данни: CORDIS, © Европейски съюз
