PhD defence by René Brandborg Sørensen
30.11.2020 kl. 14.00 - 17.00
“Performance Modelling and Network Monitoring for Internet of Things (IoT) Connectivity”
The Internet of Things (IoT) has been rated as one of the most disruptive contemporary
technologies with market potential predictions from 3.9 trillion USD to 11.1 trillion USD yearly from 2025. This huge potential has fuelled the development of new networking technologies to support the IoT paradigm. One such technology is the low power wide area network (LPWAN) LoRaWAN, which grew to a size of 100 million LoRa devices per 2019. It is crucial to understand the
performance and trade-offs there-off of the many new technologies available for supporting the IoT paradigm.
Therefore, this PhD has sought to model the performance of LoRaWAN with an emphasis on practical bounds imposed by the receiver design. Specifically, duty-cycling, the number of demodulation paths and symbol-wise collisions were considered beyond conventional stochastic geometry models. In addition, bounds and precise approximations for G/D/n/n queues was developed.
Furthermore, parametric machine learning was developed for network monitoring of black-box networks of quasi-periodically transmitting devices to enable outage detection in networks without any a-priori knowledge about devices or the network.
Professor, Roberto Verdone, University of Bologna, Italy
Director Wireless R&D, Wael Guibene, Charter Communications, USA
Associate Professor, Rasmus L. Olsen, Aalborg University (Chairman)
Professor, Petar Popovski, Aalborg University
Associate Professor, Jimmy J. Nielsen, Aalborg University
Associate Professor, Beatriz Soret, Aalborg University
Free of charge
The Connectivity Section, Department of Electronic Systems
ONLINE via TEAMS.
27.11.2020 kl. 12.00