Objective
Motivation: The expected diversity of services and use cases in 5G requires a flexible, adaptable, and programmable architecture. While the design of such an architecture has been addressed by 5G-PPP Phase 1 at a conceptual level, it must be brought into practice in Phase 2. To this end, 5G-MoNArch will (i) evolve 5G-PPP Phase 1 concepts to a fully-fledged architecture, (ii) develop prototype implementations and (iii) apply these prototypes to representative use cases.
Approach: 5G-MoNArch architecture design will combine Phase 1 concepts (such as virtualisation, slicing and orchestration of access and core functions) with three enabling innovations that fill gaps not ad-dressed in Phase 1: (i) inter-slice control and cross-domain management, to enable the coordination across slices and domains, (ii) experiment-driven optimization, to leverage experimental results to design highly performing algorithms, and (iii) cloud-enabled protocol stack, to gain flexibility in the orchestration of virtualised functions.
Testbeds: The devised architecture will be deployed in two testbeds: (i) the sea port, representative of a vertical industry use case, and (ii) the touristic city, representative of a mobile operator deployment. For each testbed, 5G-MoNArch will instantiate the architecture and complement it with a use case specific functionality – the two functional innovations of 5G-MoNArch: (i) resilience and security, needed to meet the sea port requirements, and (ii) resource elasticity, to make an efficient use of the resources in the touristic city.
Impact: 5G-MoNArch has a very high potential for commercial impact, including enhanced products (e.g. orchestrators or edge-cloud RAN), novel services (enabled by network slicing) and opportunities for new market players. To exploit this potential, 5G-MoNArch has elaborated a thorough and realistic innovation plan that includes patents and standards.
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.
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- engineering and technologyenvironmental engineeringair pollution engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- social scienceseconomics and businesseconomicssustainable economy
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
81541 Munchen
Germany
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Participants (15)
28903 Getafe (Madrid)
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53113 Bonn
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91300 Massy
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40549 Dusseldorf
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20123 Milano
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KT16 0RS CHERTSEY - SURREY
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28037 Madrid
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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.
28037 MADRID
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20457 Hamburg
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75015 PARIS 15
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57001 Thermi Thessaloniki
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115 23 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
RH20 4XB Pulborough
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
81541 MUNCHEN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
67663 Kaiserslautern
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