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Zurich University
of Applied Sciences

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Small cEllS coordinAtion for Multi-tenancy and Edge services (SESAME)

Description

SESAME targets innovations around three central elements in 5G mobile network technologies: the placement of network intelligence and applications in the network edge through Network Functions Virtualisation (NFV) and Edge Cloud Computing; the substantial evolution of the Small Cell concept, already mainstream in 4G but expected to deliver its full potential in the challenging high dense 5G scenarios; and the consolidation of multi-tenancy in communications infrastructures, allowing several operators/service providers to engage in new sharing models of both access capacity and edge computing capabilities.

SESAME proposes the Cloud-Enabled Small Cell (CESC) concept, a new multi-operator enabled Small Cell that integrates a virtualised execution platform (i.e., the Light DC) for deploying Virtual Network Functions (NVFs), supporting powerful self-x management and executing novel applications and services inside the access network infrastructure. The Light DC will feature low-power processors and hardware accelerators for time critical operations and will build a high manageable clustered edge computing infrastructure. This approach will allow new stakeholders to dynamically enter the value chain by acting as ‘host-neutral’ providers in high traffic areas where densification of multiple networks is not practical.

The optimal management of a CESC deployment is a key challenge of SESAME, for which new orchestration, NFV management, virtualisation of management views per tenant, self-x features and radio access management techniques will be developed. After designing, specifying and developing the architecture and all the involved CESC modules, SESAME will culminate with a prototype with all functionalities for proving the concept in relevant use cases. Besides, CESC will be formulated consistently and synergistically with other 5G-PPP components through coordination with the corresponding projects.

Key data

Projectlead

Christof Marti, Andrew Edmonds

Project team

Dr. Piyush Harsh, Irena Trajkovska

Project status

completed, 07/2015 - 12/2017

Institute/Centre

Institute of Computer Science (InIT)

Funding partner

Horizon 2020

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