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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 …

Radio wave propagation in special environments

Author(s): Andrej Hrovat (Author), Gorazd Kandus (Supervisor), Tomaž Javornik (Co-Supervisor)

Year: 2011

Type: Doctoral dissertation

In this doctoral thesis, radio signal propagation in special environments is discussed. The primary focus is on the development of a path loss model for radio signal propagation in long road tunnels and underground passageways, which allows a rather precise calculation of radio signal path loss and, consequently, a quick …