Distributed Learning for 5g-iot

Le descriptif de l’offre ci-dessous est en Anglais_

**Niveau de diplôme exigé **:Bac + 5 ou équivalent**Fonction **:Ingénieur scientifique contractuelA propos du centre ou de la direction fonctionnelle

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with **Paris-Saclay University** and with the **Institut Polytechnique de Paris**.

The centre has **39 project teams**, 27 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

Contexte et atouts du poste

The position is part of the 5G-mmTc research project aiming at deploying a 5G cellular network oriented “massive IoT”, compatible with 4G technology. The use cases are the Smart-Grid, in partnership with EDF and the connected bike, in partnership with the French Cycling Federation (FFC).

Mission confiée

As part of the project 5G-mMTC, some of the work is the orchestration and resource allocation in cellular networks, more specifically on the virtual core networks (slices) possible in 5G. The key advantage of a native 5G network is the ability to create on-demand and on-the-fly slices for each virtual operator. This allows multiple networks from distinct operators to coexist at the core of the 5GC network with heterogeneous quality of service needs, such as mMTC, URLCC, and eMBB.

Principales activités

This position focuses on the study of orchestration and resource allocation in virtual core networks (slices) of cellular networks. We will focus on the case of IoT networks such as LTE Cat-M and NB-IoT, and their 5G equivalents.

The task of the position will be to study the literature on this topic, then propose new orchestration and resource allocation algorithms, and finally implement a proof of concept through simulation. An initial objective is to perform the implementations and simulations based on the OpenAirInterface (OAI) codebase, an open-source implementation of 4G/5G base stations.

Compétences
- Knowledge of one or more programming languages, preferably Python and C/C++.
- Understanding of Open Air Interface
- A good command of technical English

Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training

Rémunération

Income in regards to professional experience