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Identification of indoor radio environment properties based on channel state information using machine learning approaches

Author(s): Teodora Kocevska (Author), Andrej Hrovat (Supervisor), Aleksandra Rashkovska Koceva (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

Characterization of the indoor radio environment (RE) is a prerequisite for advances in the design and optimization of next-generation indoor wireless networks and for the construction of a digital twin of the building. The need for comprehensive and accurate indoor characterization will be evident in the future hyper-connected mixed real-virtual …

Handover in Heterogeneous Networks Using SIP Protocol

Author(s): Rok Libnik (Author), Aleš Švigelj (Supervisor), Gorazd Kandus (Co-Supervisor)

Year: 2010

Type: Doctoral dissertation

Over the last decade we have been witnessing rapid development of telecommunication networks and services, in particular in the filed of new wireless network technologies. On different markets users are able to communicate using different wireless technologies. The first two generation of mobile networks (i.e. NMT and GSM) were developed …