Research Internship - Massy, France - NOKIA

NOKIA

Entreprise vérifiée

Massy, France

il y a 3 jours

Posté par:

Sophie Dupont

beBee Recruiter

StageSHIP

Description

Join us in creating the technology that helps the world act togeth
We are a B2B technology innovation leader pioneering the future where networks meet cloud.

At Nokia you will have a positive impact on people's lives and help build the capabilities needed for a more productive, sustainable, and accessible world.

Be part of a culture built on an inclusive way of working where we are open to your ideas, you are empowered to take risks and are encouraged to be fearless in bringing your authentic self to work.

The team you'll be part of

Nokia Bell Labs is the world-renowned research arm of Nokia, having invented many of the foundational technologies that underpin information and communications networks and all digital devices and systems.

This research has produced nine Nobel Prizes, five Turing Awards and numerous other awards.

The team of Network Architecture Research (NAR) lab of Bell Labs, located in Massy (20km south of Paris), welcomes each year a small number of outstanding visiting PhD students and Masters 2 (or equivalent) graduate students for their mandatory internship.

NAR works to define future network architectures with reduced complexity, maximized ease of use and experiences, enhanced consumability and for readiness for leadership in the competitive market space.

What you will learn and contribute to
The project deals with network slice resource reservation of future network with multi-stakeholder cooperation.

Slice resource reservation raises several challenging problems:

Slice requests are submitted by Service Providers (SPs) at different time instants, with various activation delays, life durations, and user demands fluctuating with time.

The variety of services supported by slices induces very different Quality of Service (QoS) requirements. Moreover, various constraints may be imposed by the different network segments on which slices have to be deployed. For example, coverage constraints are imposed by slices involving the radio access network.

Additionally, several sources of uncertainty have to be considered in a reservation approach, e.g., the number of slice users, the hardly predictable user locations, and the time-varying per-user resource requirements.

Consequently, enough infrastructure resources should be reserved for each slice to guarantee an adequate QoS and provide robustness against uncertainties.

Too many infrastructure resources should not be reserved too, to reduce costs and leave resources to concurrent slices.

This project considers a model where SPs submit slice service requests (possibly largely before their activation) to some Network Operator (NO).

A Service Level Agreement (SLA) is attached to each request. The NO and the Infrastructure Providers (InP) are considered as separate entities.

The NO evaluates the amount of resources required to operate each slice efficiently and submits slice resource reservation requests to one or several InPs.

Several situations will be considered.

One or several InP are able to book enough infrastructure resources to ensure that the NO will have access to enough and properly located infrastructure resources with service characteristics as stated in some SLA. In that case, the NO is able to select the InP providing the best offer;
No InP is able to book enough infrastructure resources with service characteristics as stated in some SLA (e.g., coverage or delay constraints may not be satisfied). In that case, the NO has to develop a mechanism allowing different InP to cooperate so as to jointly satisfy the service characteristics.

This work will focus on the second case and will be formulated considering various possible approaches (contract theory, call for tenders, auction mechanisms, etc)

Are you passionate about solving problems?

As part of our team, you will:

Learn the main concepts around 5G/6G networks, network slicing, and existing methods for slice resource reservation.
Define a mechanism for resource reservation from multiple infrastructure providers that are involved to provide the E2E slice service.
Then the proposed method will be simulated and evaluated.

Your skills and experience

You have:

Good background in applied mathematics, optimization or control theory, and statistics.
Background in networking and telecommunications.
Good programming skills are also required (Matlab, Python, or C/C++)
Academic Level / Diploma: Master/Engineering degree or Equivalent (Bac+5): Domain / Speciality: Applied mathematics, Computer Science, or Telecommunications
Good proficiency in English is a must, you will be part of an international team

What we offer

Nokia offers flexible and hybrid working schemes, continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

**Nokia