PhD defence by Melisa Maria López Lechuga

Title
“Data-Driven Prediction for Reliable Mission-Critical Communications”

Abstract
Within the wide variety of services that are aimed to be provided over cellular networks, some applications present very stringent requirements that may be challenging to meet with the existing Radio Resource Management (RRM), Quality of Service (QoS), and mobility management procedures. These procedures are mostly reactive, and a service degradation is only mitigated once it has already occurred. Having prior knowledge of the network conditions that the User Equipment (UE) will experience can help avoid a situation that may be critical for the service. A precise estimation of the service quality that the user will experience along a route can be especially useful for mission-critical services. Accurate estimations of the RSRP levels that the UE will experience along the path could provide in-advance information on the expected service availability and reliability conditions. This thesis studies the use of RSRP estimations to predict potential critical areas along the known moving path of a UE using a mission-critical service, focusing on V2X and UAV applications. The investigation shows that a proposed data-driven estimation approach can outperform traditional methods such as ray-tracing or empirical models.

Assessment Committee
Professor, Sofie Pollin, KU Leuven, Belgium
Senior mobile RAN architect, Henrik Lehrmann Christiansen, TDC Net, Denmark
Associate Professor, Jimmy J. Nielsen, Aalborg University (Chairman)

Supervisor
Associate Professor, Troels B. Sørensen, Aalborg University

Moderator
Associate Professor, Carles Navarro Manchon, Aalborg University

HOW TO PARTICIPATE:
The PhD defence will be carried out in hybrid format, meaning you can join on location or online:

Location: Niels Jernes Vej 14, room 4.111

Online via this link:
Microsoft Teams-meeting
Meeting ID 121 061 210 9