DESCRIPTION :
Every year, Inria's International Relations Department (DRI) has a few postdoctoral positions to support Inria's international collaborations. The postdoctoral contract will have a duration of 12 to 24 months. The default start date is November 1st, 2025, and not later than January 1st, 2026. One of the Inria Centres in France will recruit the postdoctoral fellow. Still, it is recommended that the time be shared between France and the partner country, in this case, the Universidade Federal de Santa Catarina in Brazil. Please note that the postdoctoral fellow has to start his/her contract in France and that the visits must respect Inria rules for missions.
Eligibility Conditions
Candidates for postdoctoral positions are recruited after the end of their Ph.D. or after a first post-doctoral period: for the candidates who obtained their PhD in the Northern hemisphere, the date of the Ph.D. defense shall be later than September 1, 2022; in the Southern hemisphere, later than April 1, 2022. To encourage mobility, the postdoctoral position must occur in a scientific environment that is genuinely different from the Ph.D. (and, if applicable, from the position held since the Ph.D.); particular attention is thus paid to French or international candidates who obtained their doctorate abroad.
Mission confiée
Context
The emerging paradigm of Direct-to-Satellite Internet of Things (DtS-IoT) represents a significant advancement in linking terrestrial Low-Power Wide Area Network (LPWAN) technologies with Low-Earth Orbit (LEO) satellites. Through this new paradigm, IoT devices communicate using well-established terrestrial technologies such as LoRaWAN to transmit data directly to satellites, even without ground infrastructure. DtS-IoT enables efficient and seamless connectivity for global-scale applications such as international asset tracking, cross-border environmental monitoring, and global data collection and distribution. DtS-IoT also facilitates the development of applications in remote regions that would otherwise be challenging to cover with low-cost terrestrial IoT connectivity, like oceanic monitoring and remote agriculture.
While LPWAN technologies such as LoRaWAN suit DtS-IoT connectivity, existing prototypes and validations have predominantly emphasized data uplink communication (from end devices to satellites); however, downlink communication (from satellites to end devices) is of the utmost importance for ensuring robust data communication and user access to all the deployed end devices. This includes acknowledging successfully received uplink data. Data flows from the Internet to ground devices through the LEO satellite network in these cases. Additionally, the downlink channel enables the LoRaWAN network and application servers to utilize a control channel to remotely configure end devices and operate actuators via the DtS-IoT network. This postdoc is focused on proposing and testing efficient downlink techniques within the DtS-IoT landscape, utilizing LEO satellite networks, and addressing the constraints of IoT communications in space.
Assignment
In the DtS-IoT context, the unique challenges associated with LoRaWAN's downlink are multi-faceted. On the one hand, they involve the challenging selection of suitable downlinking gateways (situated onboard the LEO satellites) that minimize the number of transmissions to end devices with overlapping reception windows and coverage. On the other hand, once a LEO satellite is selected, intricate scheduling follows for each downlink packet to be forwarded across high-latency, low data rate, cross-linked, and multi-hop LEO networks to multiple LoRaWAN devices.
Addressing these challenges requires developing specialized and customized solutions across several layers of the DtS-IoT network stack, physical layer models, MAC algorithms, network optimization, and satellite scheduling methods. The proposed solutions could be based on offline and online optimization and machine learning approaches to schedule downlink messages to prevent overlap, assure optimal channel conditions, and ensure seamless, reliable, and efficient communication between remote IoT devices and the space core network connected to the Internet.
Collaboration
Dr. Juan Fraire and Dr. Oana Iova actively collaborate with Prof. Richard Demo Souza from Universidade Federal de Santa Catarina (UFSC) in Brazil on the topic of Direct-to-Satellite Internet of Things convergence, also supported by a STIC AmSud project recently acquired by Inria and UFSC.
References
* Fraire, Juan A., Oana Iova, and Fabrice Valois. "Space-terrestrial integrated Internet of Things: Challenges and opportunities." IEEE Communications Magazine 60, no. 12 (2022): 64-70.
* Fraire, Juan A., Pablo Madoery, Mehdi Ait Mesbah, Oana Iova, and Fabrice Valois. "Simulating lora-based direct-to-satellite IoT networks with FloraSat." In 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 464-470. IEEE, 2022.
* Tondo, Felipe Augusto, Jean Michel de Souza Sant'Ana, Samuel Montejo-Sánchez, Onel Luis Alcaraz López, Sandra Céspedes, and Richard Demo Souza. "Non-Orthogonal Multiple-Access Strategies for Direct-to-Satellite IoT Networks." arXiv preprint arXiv:2409.02748 (2024).
* Ron, Dara, Chan-Jae Lee, Kisong Lee, Hyun-Ho Choi, and Jung-Ryun Lee. "Performance analysis and optimization of downlink transmission in LoRaWAN class B mode." IEEE Internet of Things Journal 7, no. 8 (2020): 7836-7847.
* Abboud, Samira, Nancy El Rachkidy, Alexandre Guitton, and Haidar Safa. "Gateway selection for downlink communication in LoRaWAN." In 2019 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6. IEEE, 2019.
Principales activités
1. Comprehensive Literature Review
* Survey state-of-the-art techniques in DtS-IoT, LoRaWAN downlink mechanisms, satellite scheduling, and network optimization methods.
* Identify current limitations and research gaps specific to downlink performance and scalability.
2. Model Development
* Explore energy-aware, latency-constrained, and multi-hop-aware strategies for robust downlink delivery.
* Design and implement simulation, analytical, optimization (exact or heuristic), and/or machine learning models to address gateway selection and downlink scheduling in DtS-IoT systems.
3. Definition of Performance Metrics and Tooling
* Define relevant performance indicators (e.g., delivery ratio, delay, energy consumption, fairness) for downlink communication in realistic satellite scenarios.
* Develop and implement the software tools to evaluate these metrics through simulation or analytical frameworks.
4. Simulation Campaigns and Data Analysis
* Execute large-scale simulation campaigns using realistic satellite constellation configurations.
* Collect, organize, and analyze the resulting data to evaluate the proposed downlink strategies under diverse traffic and coverage conditions.
5. Dissemination of Results
* Write detailed technical reports and documentation describing the developed methods, tools, and findings.
* Prepare and submit high-quality papers to international conferences and journals in satellite communications, IoT, and networking (e.g., IEEE ICC, GLOBECOM, TCOM, CN, IoTJ).
Code d'emploi : Chargé de Recherches (h/f)
Domaine professionnel actuel : Scientifiques
Niveau de formation : Bac+8
Temps partiel / Temps plein : Plein temps
Type de contrat : Contrat à durée indéterminée (CDI)
Compétences : Analyse des Données, Serveurs d'Applications, Protocoles de Communication, Pile de Protocole, Programmation Informatique, Réseaux Informatiques, Transmission de Données, Python (Langage de Programmation), Machine Learning, Outils de Logiciel, KS2BY9NM2GIGZU6OTLSW, Flux de Données, Wide Area Networks, Réseaux sans Fil, Technologies Informatiques, Optimisation du Réseau, Anglais, Français, Portugais, Adaptabilité, Sens de la Communication, Créativité, Réseautage, Sens de la Stratégie, Esprit d'Équipe, Motivation Personnelle, Curiosité, Algorithmes, Suivi des Actifs, Télécommunications, Collecte de Données, Liaison de Télécommunications, Gestion de la Performance, Surveillance de l'Environnement, Organisation d'Événements, Scalabilité, Gestion des Infrastructures, Relations Internationales, Couches Physiques, Modélisation Mathématique, Multimédia, Paradigmes, Recherche Post-Doctorale, Réalisation de Prototypes, Transmissions (Militaires), Satellites, Communications par Satellite, Simulations, Communications sans Fil, Organiser des Campagnes, Métrique, Montage et Démontage, Internet des Objets (IOT), Actionneurs
Courriel :
juan.fraire@inria.fr
Téléphone :
0139635511
Type d'annonceur : Employeur direct