POST-DOCTORAL POSITION

Il y a 7 jours

GifsurYvette, Île-de-France L2S - Laboratoire des signaux et systèmes Temps plein

Gratuit avec email ou Google

Enregistrez cette offre et organisez votre recherche

Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.

Enregistrer le travail Enregistrer et créer une alerte

Gratuit avec email ou Google

Position Overview

Post‑doctoral position on resource allocation in the vehicular slice for remote car driving (Project title: Resource allocation in the vehicular slice for remote car driving). The project focuses on developing mechanisms for network slice resource provisioning under stringent rate and latency constraints for mobile users in tele‑operation or remote car driving scenarios.

Objectives

• Propose joint resource reservation mechanisms that cover both core network (CN) and radio access network (RAN) resources. • Incorporate user‑equipment trajectory information and uncertainty to facilitate joint provisioning. • Apply mixed‑integer linear programming (MILP) and deep reinforcement learning techniques to optimize the reservation problem. • Evaluate the proposed solutions on a real 5G platform.

Project Steps

Bibliographic study on Cloud RAN, Open RAN, NFV/SDN, 5G slicing, V2X slicing, and 5G resource allocation.
Develop radio‑resource provisioning models for perfectly known trajectories; extend to known trajectory uncertainty and multiple remotely controlled cars sharing resources.
Implement resource reservation in the BBU pool and DU, ensuring coverage and handover constraints.
Integrate allocation mechanisms for both radio, access, and core network resources along the trajectory.
Collaborate with the PEPR Future Networks (PC5) team, particularly the NAI project.

Expected Results

Optimization models (MILP) capturing all relevant parameters and constraints.
Allocation algorithms tailored for known and uncertain trajectory scenarios.
Resource reservation modules within the Open Radio Access Network (ORAN) framework.
Performance evaluation and validation on a 5G testbed.

Prerequisites

Ph.D. in telecommunication engineering, computer science, or related field.
Strong background in networking protocols, routing, beamforming antennas, simulation/emulation.
Proficiency in AI techniques, performance evaluation, and programming in C/C++/Python.
Experience with deep learning and reinforcement learning highly appreciated.

Application Process

Letter of motivation detailing suitability for the position.
Detailed curriculum vitae.
List of publications, if any.
Name and contact email of one or two referees.

Financial Aid & Duration

The project is funded by the national PEPR Future Networks program under France 2030, led by CEA, CNRS and IMT. The position lasts 18 months.

Laboratory and Supervisors

Laboratoire des Signaux et Systèmes (L2S), UMR 8506 (University Paris‑Saclay, CNRS, CentraleSupélec). Team Multinet. Supervisor(s):

Dr. Véronique Vèque – Full Professor – veronique.veque@centralesupelec.fr
Dr. Michel Kieffer – Full Professor – michel.kieffer@centralesupelec.fr
Dr. Lynda Zitoune – Assistant Professor – lynda.zitoune@centralesupelec.fr

#J-18808-Ljbffr

POST-DOCTORAL POSITION

Enregistrez cette offre et organisez votre recherche

Position Overview

Objectives

Project Steps

Expected Results

Prerequisites

Application Process

Financial Aid & Duration

Laboratory and Supervisors

Emplois similaires à GifsurYvette

Offres similaires

Amériques

Europe

Asie / Océanie

Afrique

POST-DOCTORAL POSITION

Enregistrez cette offre et organisez votre recherche

Position Overview

Objectives

Project Steps

Expected Results

Prerequisites

Application Process

Financial Aid & Duration

Laboratory and Supervisors

Emplois similaires à GifsurYvette

Offres similaires