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Job Post Details

Improvement of the LoRaWAN throughput based on physical characteristics of LoRa frames - job post

Laboratoire d'informatique de modélisation et d'optimisation des systèmes
Clermont-Ferrand (63)
CDD
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Détails de l'offre

Correspondance entre ce poste et votre profil.

Type de poste

  • CDD

Lieu

Clermont-Ferrand (63)

Description du poste

Improvement of the LoRaWAN throughput based on physical characteristics of LoRa frames

Réf ABG-122723
Sujet de Thèse

11/04/2024
Financement public/privé

Laboratoire d'informatique de modélisation et d'optimisation des systèmes
Lieu de travail
Clermont-Ferrand - Auvergne-Rhône-Alpes - France
Intitulé du sujet
Improvement of the LoRaWAN throughput based on physical characteristics of LoRa frames
Champs scientifiques
  • Informatique
  • Robotique
Mots clés
LoRa, Preamble, channels, GNU Radio, USRP

Description du sujet

Context:
Low-power wide area networks (LPWAN) enable battery-powered devices to communicate over long distances, typically up to about ten kilometers outdoor. These networks have numerous applications, including environmental monitoring (monitoring of forests, rivers, mountain fauna, etc.) [1].

LoRa is a physical layer developed by the Semtech company, and based on a very efficient modulation called CSS. This modulation has a high robustness, which enables it to correctly decode signals, even when they are received below the noise level. The LoRaWAN open standard [2] is built upon the LoRa physical layer and defines a network architecture and a MAC layer protocol. The combination of LoRa and LoRaWAN is the most common protocol combination in LPWAN.

Main research issue:
However, LoRaWAN has a very small throughput of a few bits per second in practice. It is thus critical to develop techniques that enable to improve LoRaWAN throughput.

Objectives of the PhD:
The objective of this PhD is to leverage the physical characteristics of LoRa frames in order to improve the LoRaWAN throughput. This is especially challenging: indeed, LoRa is enable to decode frames even when the reception power is about 100 times lower than the noise level. With such very weak signals, the physical characteristics of the frames are very hard to obtain accurately. The questions we are addressing are thus: Can we identify the transmitter of a frame without using the address integrated in the frame header? Can we determine if two frames detected by two gateways correspond to the same transmission? Can we leverage orthogonal properties of LoRa in order to transmit several frames in collision, without impacting the decoding capabilities at the gateways? By answering to these questions, it becomes possible to identify LoRa nodes based on the physical characteristics of the transmitters, which enables to remove the source address from the header of the frames, thus saving a few precious bytes. This also improves the privacy of the communications, as it becomes more challenging for an attacker to determine the actual transmitter of an unsourced frame. A first proof of concept has already been achieved [3], but it is necessary to extend this preliminary work. Other research directions are also envisioned, including the decoding of colliding LoRa frames [4] by using multi-gateway or spreading-factor-based information. All the concepts proposed in this PhD will be validated by real hardware implementation, by using both commercial LoRa end-devices as well as highly configurable software defined radios.

Novelty of the approach compared to the literature:
The part on recovering colliding frames is the extension of a PhD which was defended in Clermont-Ferrand in June 2023 [5]. This work lead to several high-level publications (including [4]). The other parts of this work are novel: to the best of our knowledge, no research paper deals with these ideas.

References:
[1] M.S. Hidayat, A.P. Nugroho, L. Sutiarso, T. Okayasu. « Development of environmental monitoring systems based on LoRa with cloud integration for rural area », IOP Conference Series : Earth and Environmental Science, volume 355, the 3rd International Symposium on Agricultural and Biosystem Engineering, 2019.
[2] LoRa Alliance. « LoRaWAN L2 1.0.4 Specification », Technical standard, TS001-1.0.4, 2020.
[3] Weixuan Xiao, Alexandre Guitton, Megumi Kaneko, Nancy El Rachkidy. « Local Identification of Devices from LoRa Preambles: a Preliminary Feasibility Study », work in progress, 2023.
[4] Weixuan Xiao, Megumi Kaneko, Nancy El Rachkidy, Alexandre Guitton. « Integrating LoRa Collision
Decoding and MAC Protocols for Enabling IoT Massive Connectivity », IEEE Internet of Things Magazine,
2022.
[5] Weixuan Xiao. « Techniques de décodage pour annuler les collisions dans LoRaWAN ». PhD thesis of Université Clermont Auvergne, 2023. Supervision: Alexandre Guitton (main supervisor) and Nancy El Rachkidy (co-supervisor). In French.

Prise de fonction :

01/10/2024

Nature du financement

Financement public/privé

Précisions sur le financement

Présentation établissement et labo d'accueil

Laboratoire d'informatique de modélisation et d'optimisation des systèmes

The Laboratory of Informatics, Modelling and Optimization of the Systems (LIMOS) is a Mixed Unit of Research (UMR 6158) in computing, and more generally in Sciences and Technologies of information and the Communication ( STIC).

The LIMOS is mainly connected with the Institute of the Sciences of the Information and their Interactions (INS2I) of the CNRS, and in a secondary way to the Institute of the Sciences of the Engineering and the Systems (INSIS). He has for academic supervision the Clermont Auvergne university and the graduate school of Mines of Saint-Etienne (EMSE), and as partner establishment the Engineer Institute SIGMA. The LIMOS is a member labex IMOBS3 and ClercVolc and federation of search in Environment FR 3467 (which groups 17 laboratories UCA and INRA of the site of Clermont-Ferrand). It is an associate member of the federation MODMAD (Mathematical MODELLING and Decision support, FED 4169) carried by University Jean Monnet of Saint-Etienne

The scientific positioning of the LIMOS is centered around the Computing, the Modelling and the Optimization of the Organizational and alive Systems. The main themes of search developed within the laboratory are: Combinatorial optimization - Algorithmics, Graphs, Complexity - Team Metamodeling, Continuous Optimization and Applications (MOCA) - Data, Services, Intelligence - Network and Security - Modeling and Optimization of Manufacturing Systems - Service Design and Planning.

Intitulé du doctorat

Doctorat en informatique

Pays d'obtention du doctorat

France

Etablissement délivrant le doctorat

UNIVERSITE CLERMONT AUVERGNE

Ecole doctorale

Sciences pour l'ingénieur

Profil du candidat

Bonne connaissance en réseau, communications et protocoles,

Bonne connaissance en programmation, programmation embarquée

Bonne connaissance en traitement de signal.

Bonus : connaissance en radio logicielle

Date limite de candidature
02/05/2024

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