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A novel AI virtualiser for underutilized computational & communication resource exploitation

Listing Description

Result description

Main features: inter-slice conflict and underutilization mitigation

Objectives: efficient resource exploitation in the RAN-Edge-Cloud continuum

Value proposition: efficient use of resource to maximise the return from leasing the infrastucture to multiple tenants

What is new: protocol learning as a basis

Addressing target audiences and expressing needs

Our needs are
  • To raise awareness and possibly influence policy
We specifically need / are looking for

We are looking for further adoption by the network automation community, and possible licensing of the developed solution.

Target audiences
  • EU and Member State Policy-makers
  • Research and Technology Organisations
  • Academia/ Universities

R&D, Technology and Innovation aspects

Current stage description

Design of the AI virtualizer, Implementation of the AI virtualizer in simulation, Dockerization of the AI virtualizer, Integration with the slice manager, and Testbed validation

Replicability

The developed AI virtualiser relies on the concept of multi-agent emergent communication, which is a generic framework that can be reused/replicated in various problems where several entities (e.g., multiple slices/vendors/operators) seek to negotiate/reconcile their conflicting objectives.

Sustainability

The result is sustainable by design as it enables the maximisation of the use of the infrastructure, reducing OPEX.

Result submitted to Horizon Results Platform by FUNDACIO PRIVADA I2CAT, INTERNET I INNOVACIO DIGITAL A CATALUNYA

Offer Details

Specifications and Deliverables:

Value Proposition:

Efficient use of resource to maximise the return from leasing the infrastucture to multiple tenants

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Adress:

CALLE GRAN CAPITA 2-4, EDIFICI NEXUS I
Barcelona
Catalonia
08034
Spain

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