Research Internship – Performance Analysis of Emerging Technology for Terrestrial to Satellite Internet of Things
Inria
Villeurbanne
Research Internship – Performance Analysis of Emerging Technology for Terrestrial to Satellite Internet of Things
Le descriptif de l’offre ci-dessous est en Anglais
Niveau de diplôme exigé : Bac + 4 ou équivalent
Fonction : Stagiaire de la recherche
Niveau d'expérience souhaité : De 3 à 5 ans
A propos du centre ou de la direction fonctionnelle
The Inria research centre in Lyon is the 9th Inria research centre, formally created in January 2022. It brings together approximately 300 people in 16 research teams and research support services.
Its staff are distributed at this stage on 2 campuses: in Villeurbanne La Doua (Centre / INSA Lyon / UCBL) on the one hand, and Lyon Gerland (ENS de Lyon) on the other.
The Lyon centre is active in the fields of software, distributed and high-performance computing, embedded systems, quantum computing and privacy in the digital world, but also in digital health and computational biology.
Contexte et atouts du poste
This work will take place in the Inria Agora research team in Lyon, in conjunction with the ANR STEREO national research project. The internship student will be supervised by Dr. Juan Fraire (Inria Agora) and will work closely with Prof. Alexandre Guitton (Université Clermont Auvergne) and Dr. Oana Iova (Inria Agora, INSA Lyon).
Mission confiée
Context
Recent years have witnessed the surge of several new technologies that enable long-range communication (up to tens of kilometers) with extremely low-power consumption (18mA at 7dBm). These networks play a major role in the Internet of Things (IoT), where they enable architectural alternatives with degrees of scale and flexibility hitherto impossible, including space-terrestrial communication. The most representative technologies for long-range networks are LoRa [1] for terrestrial communications, and LR-FHSS [2] for space-terrestrial communications, combined with the LoRaWAN [3] protocol, a breakthrough technology for smart object data collection that has gained global momentum.
Assignment
ISM bands are portions of the radio spectrum reserved internationally for industrial, scientific, and medical (ISM) purposes, and are free of use. However, devices communicating in these bands have to deal with interferences from all the technologies and networks deployed on this ISM band, and users have no regulatory protection. If any type of Quality of Service (QoS) is needed, companies need to pay a licensing fee to acquire portions of the radio spectrum for the exclusive right to transmit on an assigned frequency within a certain geographical area. In exchange, the company can be assured that nothing will interfere with their devices' transmissions.
While most of the technologies developed for the Internet of Things are either to be used in the ISM bands or in licensed bands, LR-FHSS has the special characteristic that it can be deployed in any type of band, as long as the company has at least 120kHz of spectrum available. This project aims to compare the performance of LR-FHSS in ISM bands vs. licenced bands.
Bibliography:
[1] Semtech, LoRa – Long Range Technology: https://www.semtech.com/lora
[2] Semtech, Long Range – Frequency Hopping Spread Spectrum (LR-FHSS): https://blog.semtech.com/lorawan-protocol-expands-network-capacity-with-new-long-range-frequency-hopping-spread-spectrum-technology
[3] LoRa Alliance, LoRaWAN 1.1 Specification, 2017.
Principales activités
The student will have to:
- Characterize the differences between ISM and licensed bands in terms of bandwidth, maximum transmit power, etc.
- Characterize the differences in deployment of LR-FHSS in different types of bands (ISM vs licenced).
- Evaluate in simulation the performance of LR-FHSS in a single network deployment.
- Evaluate in simulation the performance of LR-FHSS in the presence of multiple co-located networks, and characterize how the performance is impacted by intra-technology interference.
- Evaluate in simulation the performance of LR-FHSS in the presence of multiple co-located technologies, and characterize how the performance is impacted by cross-technology interference.
Compétences
Required Skills
Applicants studying for a Computer Science or Telecommunication Engineering degree are encouraged to apply. Background in mathematics and wireless networking as well as practical skills with programming languages (e.g., C/C++, Python) are welcomed. Fluent English level is mandatory, French language is not mandatory but welcomed. We look for empathic proactive and self-driven students.
Avantages
- Partial reimbursement of public transport costs
- Social, cultural and sports events and activities
Rémunération
Gratification at €4.05 per hour