SatCom capacity according to demand – Flexible resource management via C-DReAM

The low earth orbit (LEO) satellites’ resource allocation should take into account the changes in geographical and temporal traffic demand. Continuously growing amount of satellite communications traffic shall be a burden on the satellites. To solve this problem Magister Solutions is building a simulator that optimises the use of resources and makes sure they are […]

Machine-Learning-Based Predictive Handover

Paper titled “Machine-Learning-Based Predictive Handover” by Ahmed Masri, Teemu Veijalainen, Henrik Martikainen, Stephen Mwanje, Janne Ali-Tolppa and Marton Kajo has been published in the IEEE/IFIP IM 2021, May 17-21 in Bordeaux, France. The research for this paper has been done in cooperation with Nokia Bells Labs during years 2018 and 2021. This work proposes and […]