Jaakko Pihlajasalo: Machine learning improves tolerance to impairments and distortions of satellite orbit predictions and 5G receivers

Picture of Jaakko Pihlajasalo standing in a hall.
Photo: Roman Klus

The doctoral dissertation of M.Sc. (Tech) Jaakko Pihlajasalo in the field of applied mathematics titled Impairment Mitigation with Machine Learning for Satellite Ephemeris Extension and 5G Physical-Layer Communications will be publicly examined at the Faculty of Information Technology and Communication Sciences at Tampere University on 20 March 2026.

The Opponent will be Professor Laura Ruotsalainen from the University of Helsinki. The Custos will be Senior University Lecturer Simo Ali-Löytty from the Faculty of Information Technology and Communication Sciences.

Read more: Jaakko Pihlajasalo: Machine learning improves tolerance to impairments and distortions of satellite orbit predictions and 5G receivers | Tampere universities

Link to the thesis: Impairment Mitigation with Machine Learning for Satellite Ephemeris Extension and 5G Physical-Layer Communications – Trepo