Connecting terrestrial LPWANs (Low Power Wide Area Networks) directly to Internet of Things (IoT) service back end via satellite broadband is becoming a new business focus.
Besides the new market opportunities, in the agriculture sector, among others, and the additional revenue that the backhaul of LPWANs can bring for satellite operators and IoT services providers, there is still lack of technical solutions that allow the smooth integration and interoperability of satellite and terrestrial segments.
The LoRaSAT project, funded by FNR, under the CORE2019 call, aims at designing optimisation of the LoRaWAN medium access (MAC) protocol, combining unidirectional and bidirectional communication, simple Aloha channel access with resource scheduling techniques, according to IoT traffic pattern, and application requirements.
The designed e2e system and the proposed optimisations aim to enable better data extraction, exchange and management with immediate impact on precision agriculture applications such as crop growth monitoring and disease prediction, productivity through enhanced yields, and reduced use of fuel and fertilisers.
The PhD Student carries out doctoral research in the framework of the FNR CORE2019 LoRaSAT project. His / her work is supervised by Dr.
Maria Rita Palattella, Senior Research and Technology Associate at LIST, in the REMOTE group, holding the ADR rights from the University of Luxembourg.
Thus, the PhD Student, hosted at LIST, is incorporated in the REMOTE RDI group, closely interact with the PhD supervisor that reports on his / her behalf to the group leader.
The student is enrolled at the University of Luxembourg, which is the awarding Institution of the PhD diploma.
Main missions - PhD topic
The PhD Student’s main mission is to carry out doctoral research towards his / her thesis.
The topic of the PhD thesis is focused on designing scheduling techniques for LoRaWAN networks, with LEO-satellite backhaul.
The student has to address several technical challenges : first of all synchronization of a large number of LoRa end devices with a mobile gateway (installed on the LEO satellite).
Simple Aloha, slotted-Aloha, and reservation based scheduling schemes for Class A and Class B devices should be compared.
Their performance when supporting uplink, and / or downlink traffic, with and without ACK, are to be analysed. Bulk data transmission of IoT data during the limited visibility time of the LEO satellite (and thus of the gateway with the end devices) should be explored.
The evaluation / validation of the designed scheduling techniques is to be conducted first using simulation and emulation tools, second in the form of a Prof of Concept (PoC) with a small-scale field test.
The outcomes of the thesis are valorised through different streams, namely scientific publications and patents. He / she produces new scientific knowledge aligned with the strategy of the department / unit / group.
Dissemination, Valorisation and Transfer