Joint Optimization in Satellite-aerial-terrestrial - Sophia Antipolis, France - Université Côte d'Azur

Université Côte d'Azur
Université Côte d'Azur
Entreprise vérifiée
Sophia Antipolis, France

il y a 3 semaines

Sophie Dupont

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Sophie Dupont

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Description

Joint Optimization in Satellite-Aerial-Terrestrial Networks (SATN) towards 6G // Multiple Optimizations in Satellite-Aerial-Terrestrial Networks (SATN):

  • Réf
    ABG-122691

ADUM-56361

  • Sujet de Thèse 11/04/2024
  • Université Côte d'Azur
  • Lieu de travail
  • SOPHIA ANTIPOLIS CEDEX
  • VALBONNE
  • France
  • Intitulé du sujet
  • Joint Optimization in Satellite-AerialTerrestrial Networks (SATN) towards 6G // Multiple Optimizations in Satellite-AerialTerrestrial Networks (SATN)
  • Mots clés
  • Internet des objets, réseaux 6G, optimisation, algorithmique, drones
  • IoT, 6G networks, UAVs, optimization, algorithmic
    Description du sujet:
  • In this thesis, we explore the structured integration of satellites, Unmanned Aerial Vehicles (UAVs), and terrestrial networks in a hybrid satellite-aerial-terrestrial network (SATN) architecture, with the objective of supporting a massive number of devices while delivering optimal performances.

    Indeed, Unmanned Aerial Vehicles (UAVs) bring an intermediate dimension between ground and satellites, with lots of benefits such as high throughput, flexibility, and reliability.

    On one hand, UAV is able to communicate with satellite and ground devices simultaneously.

    And on the other hand, using UAV as relay can improve the quality of satellite links and reduce the ground wireless interferences.

    But this new 3-tier SATN paradigm introduces significant system complexity, primarily due to the diverse and dynamic nature of space, air, and ground-based communications.

  • The research goal is to develop accurate optimization models for resource allocation in SATN in order to evaluate the deployment of such solutions. Network performances can be assessed by several objectives involving power control, time allocation, UAV trajectory optimization, energy efficiency,... Efficient multiobjective optimization models and sophisticated solving techniques will have to be investigated.

In this thesis, we explore the structured integration of satellites, Unmanned Aerial Vehicles (UAVs), and terrestrial networks in a hybrid satellite-aerial-terrestrial network (SATN) architecture, with the objective of supporting a massive number of devices while delivering optimal performances.

Indeed, Unmanned Aerial Vehicles (UAVs) bring an intermediate dimension between ground and satellites, with lots of benefits such as high throughput, flexibility, and reliability.

On one hand, UAV is able to communicate with satellite and ground devices simultaneously.

And on the other hand, using UAV as relay can improve the quality of satellite links and reduce the ground wireless interferences.

But this new 3-tier SATN paradigm introduces significant system complexity, primarily due to the diverse and dynamic nature of space, air, and ground-based communications.


  • The research goal is to develop accurate optimization models for resource allocation in SATN in order to evaluate the deployment of such solutions. Network performances can be assessed by several objectives involving power control, time allocation, UAV trajectory optimization, energy efficiency,... Efficient multiobjective optimization models and sophisticated solving techniques will have to be investigated.

Début de la thèse : 01/10/2024
Nature du financement:

Précisions sur le financement:


  • Contrat doctoral EDSTIC-UCA ou EUR-DS4H
    Présentation établissement et labo d'accueil:
  • Université Côte d'Azur
    Etablissement délivrant le doctorat:
  • Université Côte d'Azur

Ecole doctorale:

  • 84 STIC Sciences et Technologies de l'Information et de la Communication06/05/2024
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