Assoc. Prof. Özgü Alay at Karlstad Univerisity will talk about how narrowband Internet of Things (NB-IoT) is gaining momentum as a promising technology for massive Machine Type Communication.
Given that its deployment is rapidly progressing worldwide, measurement campaigns and empirical performance analyses are needed to better understand the system and move toward its enhancement. In this talk, Özgü will first introduce the first-of-its-kind large-scale NB-IoT measurement campaign.
She will then discuss the empirical analysis of NB-IoT on operational networks disclosing valuable insights in terms of deployment strategies and radio coverage performance. Next, she will focus on NB-IoT Random Access (RA) procedure and discuss how the RA procedure and performance are affected by network deployment, radio coverage, and operators’ configurations. Finally, Özgü will discuss how Machine Learning (ML) can be leveraged to enhance the RA procedure leading to significant power consumption reductions.
The content is largely technical rather than general and is mainly suitable for those with a certain pre-understanding of the subject.
WHEN: 12 April 14:15 – 15:00
WHERE: Karlstad Univeristy, 1A342 (Eva Ericsson)
Özgü Alay is an Associate Professor at the Department of Informatics and lead the Gemini IoT Center at the University of Oslo. She is also a Guest Professor at Department of Computer Science at Karlstad University.
More details available at https://www.kau.se/dami/kalender/empirical-analysis-narrowband-internet-things-wild