Objective
5G use cases are so diverse and challenging that the 5G networks must be customisable for the broad range of individual scenarios. 5G network providers are keen to offer “networks as a service” where logical network slices are created and allocated to use cases flexibly and efficiently in a multi-operator environment. SliceNet will create and demonstrate the tools and mechanisms to achieve this ambition. Specifically, SliceNet will design, prototype and demonstrate an innovative, verticals-oriented, QoE-driven 5G network slicing framework. It will use cognitive network management, control and orchestration techniques for the provision and operation of end-to-end slicing across multi-operator domains in 5G networks. SliceNet will systematically tackle a range of the involved outstanding issues and thus directly addresses the key challenges in Strand 3 “Software Network” in this call ICT-07-2017. The integrated SliceNet framework will be demonstrated in three representative vertical use cases: Smart Grid, eHealth and Smart City, to highlight the achievements, innovations, and impacts. SliceNet support the unique perspectives and requirements on 5G networks of different players: For 5G verticals businesses, SliceNet offers an innovative one-stop shop solution to meet diverging and demanding service requirements. SliceNet enables the verticals to plug and play their use cases with bespoke control to employ 5G slices in a scalable, cost-efficient way via novel mySlice and Scalable Slicing as a Service functions and a one-stop API. For 5G service providers and users, SliceNet provides unprecedented guaranteed service quality by agile cognitive QoE-optimisation of service creation and delivery. For 5G network operators, SliceNet presents an integrated FCAPS (Fault, Configuration, Accounting, Performance, Security) framework for truly end-to-end management, control and orchestration of slices by secured, interoperable, and reliable operations across multi-operator domains.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health scienceshealth scienceshealth care serviceseHealth
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
69123 Heidelberg
Germany
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Participants (17)
3810 106 Aveiro
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PA1 2BE Paisley
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56122 Pisa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00118 Roma
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
Participation ended
00118 Roma
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49527 Petach Tikva
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06410 Biot
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08034 Barcelona
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8 Dublin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
151 24 MAROUSSI
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010665 Bucuresti
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4465 587 Leca Do Balio
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P31 Ovens
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112 51 ATHINA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
T12P928 CORK
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T12 P928 Cork
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92130 Issy Les Moulineaux
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